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Method and system for profiling iTV users and for providing selective content delivery

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Publication number
US20020059094A1
US20020059094A1 US09877974 US87797401A US2002059094A1 US 20020059094 A1 US20020059094 A1 US 20020059094A1 US 09877974 US09877974 US 09877974 US 87797401 A US87797401 A US 87797401A US 2002059094 A1 US2002059094 A1 US 2002059094A1
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Prior art keywords
user
profile
itv
content
server
Prior art date
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Granted
Application number
US09877974
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US7979880B2 (en )
Inventor
Devin Hosea
Richard Zimmerman
Arthur Rascon
Anthony Oddo
Nathaniel Thurston
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Cox Communications Inc
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Predictive Networks Inc
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network, synchronizing decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213Monitoring of end-user related data
    • H04N21/44222Monitoring of user selections, e.g. selection of programs, purchase activity
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/252Processing of multiple end-users' preferences to derive collaborative data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • H04N21/25883Management of end-user data being end-user demographical data, e.g. age, family status or address
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • H04N21/25891Management of end-user data being end-user preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508Management of client or end-user data
    • H04N21/4532Management of client or end-user data involving end-user characteristics, e.g. viewer profile, preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/462Content or additional data management, e.g. creating a master electronic program guide from data received from the Internet and a Head-end, controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
    • H04N21/4622Retrieving content or additional data from different sources, e.g. from a broadcast channel and the Internet
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television, VOD [Video On Demand]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81Monomedia components thereof
    • H04N21/812Monomedia components thereof involving advertisement data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/16Analogue secrecy systems; Analogue subscription systems
    • H04N7/173Analogue secrecy systems; Analogue subscription systems with two-way working, e.g. subscriber sending a programme selection signal
    • H04N7/17309Transmission or handling of upstream communications
    • H04N7/17318Direct or substantially direct transmission and handling of requests

Abstract

A method for profiling an iTV user. The method comprises gathering user-requested content information from iTV interactions, correlating content-associated profile information from a rating service with the user-requested content information, and developing a profile of the user based on the content-associated profile information correlated with the user-requested content information.

Description

    RELATED APPLICATION
  • [0001]
    The present application is a continuation-in-part of application Ser. No. 09/558,755 filed on Apr. 21, 2000 and entitled “Method and System for Web User Profiling and Selective Content Delivery,” which is incorporated herein by reference.
  • FIELD
  • [0002]
    The present invention relates generally to methods of profiling interactive television (“iTV”) users, recommending content, and for delivering targeted content to users. The present invention can be applied to any content delivery medium including but not limited to TV, Internet, and wireless networks.
  • BACKGROUND
  • [0003]
    Advertising directed to iTV users (typically video advertisements and banner advertisements) is expected to grow rapidly along with the growth of iTV, the Internet, and E-commerce activity. Traditional methods of advertising have been found to be generally ineffective in drawing responses from users. Traditionally, television advertisements and web advertisements have not been targeted to particular users but are instead targeted based on the audience associated with the television show or Internet content site on which the advertisement will appear.
  • [0004]
    A more effective means of advertising is advertising targeted to particular users. For example, it is known to profile users by determining their demographics and interests, and to selectively send advertisements to only those users having particular profiles. Information on users can be obtained, e.g., from the users themselves through questionnaires. However, in these profiling methods, there is no assurance of user privacy or the accuracy of the profiling data. Also, there is no way of accurately matching the advertising to user profiles.
  • [0005]
    A need exists for a method and system for accurately and anonymously profiling users. A need also exists for a method and system for accurately matching users of given profiles to content to which they will likely be most receptive.
  • SUMMARY
  • [0006]
    One embodiment of the invention is a method for profiling an iTV user. In this embodiment, the method comprises gathering user-requested content information from iTV interactions, correlating content-associated profile information from a rating service with the user-requested content information, and developing a profile of the user based on the content-associated profile information correlated with the user-requested content information.
  • [0007]
    Another embodiment of the invention is a set-top box for profiling an iTV user. In this embodiment, the invention comprises a memory for storing a program and a processor operative with the program to gather user-requested content information from iTV interactions, correlate content-associated profile information from a rating service with the user-requested content information, and develop a profile of the user based on the content-associated profile information correlated with the user-requested content information.
  • [0008]
    Another embodiment of the invention is a computer readable medium comprising instructions for profiling an iTV user by performing the acts of gathering user-requested content information from iTV interactions, correlating content-associated profile information from a rating service with the user-requested content information, and developing a profile of the user based on the content-associated profile information correlated with the user-requested content information.
  • [0009]
    Yet another embodiment of the invention is a method for targeted advertising to an iTV user. In this embodiment, the method comprises receiving a plurality of advertisements, wherein each of the advertisements includes advertising information containing instructions with desired iTV user profiles for the advertisement, using a developed user profile along with the desired iTV user profiles from the plurality of advertisements to determine which of the plurality of advertisements to present to the iTV user as a targeted advertisement, and presenting the targeted advertisement to the iTV user.
  • [0010]
    Another embodiment of the invention is a method of profiling an iTV user. In this embodiment, the method comprises providing profiles on a plurality of iTV programs, monitoring which of said plurality of iTV programs the user accesses, and developing a profile of the user based on the profiles of the iTV programs accessed by the user.
  • [0011]
    Yet another embodiment of the invention is a set-top box for profiling an iTV user. In this embodiment, the set-top box comprises a memory for storing a program and a processor operative with the program to monitor which of a plurality of programs the user views and develop a profile of the user based on predetermined profiles of the programs viewed by the user.
  • [0012]
    Another embodiment of the invention is a computer for profiling an iTV user. In this embodiment, the computer comprises a memory for storing a program and a processor operative with the program to monitor which of a plurality of programs the user views and develop a profile of the user based on predetermined profiles of the television programs viewed by the user.
  • [0013]
    Yet another embodiment of the invention is a system for delivering selective advertising to an iTV user. In this embodiment, the system comprises a database containing profile data on a plurality of iTV programs, means for monitoring which of said plurality of iTV programs the user accesses, means for developing a profile of the user using profile data of the iTV programs accessed by the user, and means for matching the user with an advertisement based on the developed user profile.
  • [0014]
    Another embodiment of the invention is a system for delivering targeted advertisements to a client iTV of a user. In this embodiment, the system comprises a local server computer for providing iTV access to the user, a set-top box at the client iTV linked to the local server computer, the set-top box including means for monitoring which of a plurality of iTV programs the user accesses and means for developing a profile of the user based on predetermined profile data of iTV programs accessed by the user, a remote server computer linked to said local server computer and including means for providing an advertisement to a desired user based on the profile of the desired user and means for transmitting said advertisement to said local server computer for eventual transfer to the set-top box, and wherein the set-top box further contains means for matching the advertisement with the profile of the user.
  • [0015]
    Another embodiment of the invention is a computer readable medium comprising a program for profiling an iTV user by performing the acts of monitoring which of a plurality of ITV programs having predetermined profiles the user accesses and developing a profile of the user based on the profiles of the ITV programs accessed by the user.
  • [0016]
    Yet another embodiment of the invention comprises a computerized method of profiling iTV users and selectively delivering content to said users. This embodiment comprises providing profiles of a plurality of iTV programs, said profiles including demographic data of persons known to have viewed the iTV programs, monitoring which of said plurality of iTV programs each of said users visits, inferring a profile of each user based on the profiles of the iTV programs visited by the user, identifying a target group of said users who would be receptive to receiving certain content based on the profiles of the target group, and selectively delivering the content to users of the target group.
  • [0017]
    Another embodiment of the invention is a program module for a set-top box. The program module includes a sniffer for gathering user-requested content information from iTV interactions of a user, a profiler for correlating content-associated profile information from a rating service with the user-requested content information and for developing a profile of the user, and a matcher for recommending content to the user based on the profile of the user.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • [0018]
    For a fuller understanding of the nature and objects of the present invention, reference should be made to the following detailed description taken in connection with the accompanying drawings wherein:
  • [0019]
    [0019]FIG. 1 is a block diagram illustrating of a representative network in which the inventive system may be implemented.
  • [0020]
    [0020]FIG. 2 is a block diagram illustrating the architecture of the client in one embodiment.
  • [0021]
    [0021]FIG. 3 is a display screen shot of a personalized programming guide, which also displays a standard programming guide in the bottom portion.
  • [0022]
    [0022]FIG. 4 is a block diagram illustrating the ITV or ISP server in an embodiment of the invention using two-way communication.
  • [0023]
    [0023]FIG. 4a is a block diagram illustrating the client profiling component for the embodiment of FIG. 4.
  • [0024]
    [0024]FIG. 5 is a block diagram illustrating the direct client communications component of one embodiment of the invention.
  • [0025]
    [0025]FIG. 6 is a screen shot of an exemplary pop-up advertisement in accordance with an embodiment of the invention.
  • [0026]
    [0026]FIG. 7 is a block diagram illustrating the master server synchronization component of an embodiment of the invention.
  • [0027]
    [0027]FIG. 8 is a block diagram illustrating the dynamic campaign manager of an embodiment of the invention.
  • [0028]
    [0028]FIG. 9 is a block diagram illustrating the data analysis system component of an embodiment of the invention.
  • [0029]
    [0029]FIG. 10 is a block diagram illustrating the billing component of an embodiment of the invention.
  • DETAILED DESCRIPTION
  • [0030]
    A. General Overview
  • [0031]
    The present invention is directed to a method and system for profiling iTV users or clients based on their viewing habits, interactions with the iTV, and Internet surfing habits, and for selectively recommending and delivering content, such as advertising or recommended programs, to the users based on their profiles.
  • [0032]
    [0032]FIG. 1 illustrates a representative network in which the inventive system may be implemented in one embodiment. The network includes one or more client machines 10 operated by various individual users. The client machines 10 connect to an iTV/ISP server 15 via a communication channel 5, which may be a broadcast that is relayed to the clients 10 via a cable connection or satellite dish. The communication channel 5, in some embodiments, may include a back channel of communication for data going upstream from a client 10 to the iTV/ISP server 15. Such a back channel of communication, also represented by communication channel 5 in FIG. 1, may be a telephone line or cable modem, and such a back channel of communication allows two-way communication between the clients 10 and the iTV/ISP server 15. In another embodiment, which is a one-way communication embodiment, the iTV/ISP server 15 broadcasts information to the clients 10, but the clients 10 have no way of accessing or providing information back to the iTV/ISP server 15.
  • [0033]
    The iTV/ISP server 15 may be an iTV server 12, an ISP server 16, or a combination of the iTV server 12 and the ISP server 16. The iTV server 12 provides iTV content that may include programs, advertisements, and interactive content including the Internet. Such an iTV server may be provided by a cable operator, such as RCN. FIG. 1 also illustrates an ISP “point-of-presence” (POP), which includes an ISP POP Server 16, which may be linked to the client for providing access to the Internet. The ISP server 16 may be operated by the same entity as the iTV server 12, by separate entities, or by a joint effort between entities. In addition, the iTV server 12 may also function as the ISP server 16. In any event, the combined iTV/ISP server 15 represents the possibility that these two servers may be linked in some manner so that the client 10 may have access to interactive television programming and the Internet. It should be noted, however, that in some embodiments a client 10 may not have Internet access, and in such cases the iTV server 12 may be used without an ISP server 16. The Internet service provided through the ISP server 16 may be provided through a cable modem or over telephone lines.
  • [0034]
    In some embodiments, advertising may be hosted by an ad server 17 that is separate from the iTV server 12 that hosts the programming content. In such an embodiment, the iTV server 12 may be connected to the ad server 17 by a communication channel 14, which may be an Internet connection. The ad server 17, which may exist in typical iTV or television networks, allows advertisers to interact with the iTV server 12 to manage advertising over the television. In one embodiment of the invention, a master server 18 may be used to remotely manage the ad server 17. The master server 18 may be connected to the ad server 14 via communication channel 14, which may be an Internet connection. The master server 18 may be used by advertisers in an embodiment of the invention to determine which ads should be sent to which clients 10. In addition, in a television embodiment, the master server 18 communicates this information to the add server 17 via the communication channel 14, and the information is then forwarded to the iTV server 12 and ultimately the client 10. In an Internet embodiment, the master server 18 may communicate this advertising information to the ISP server 16, which may then communicate this information to the client 10. The master server 18 may also generate content recommendations for clients 10 that are relayed to the iTV server 12 via the ad server 17.
  • [0035]
    The client machine 10 may be an interactive television set with a set top box or, in other embodiments, a computer. The set top box may be made by Motorola and the operating system may be the OpenTV operating system. The television itself could be made by any manufacturer, including but not limited to Magnavox, Sony, and Toshiba. A representative interactive television set includes a set top box with a computer processing unit and memory, a remote control or keyboard, and a display unit (television set). The screen of the display unit is used to present programs, advertising, and other content to the user. A graphical user interface (GUI) on the display unit may also be available for the user to make programming selections, interact with programs, and access the Internet. The GUI is supported by the operating system and allows the user to use a point and click method of input, e.g., by moving a highlighted area on the display screen to a section representing a program at a particular time and pressing on the remote control buttons to perform a selection. Also, one or more “windows” may be opened up on the screen independently or concurrently as desired. One predominant GUI is the interactive television guide that allows a user to select a program to watch through the use of a remote control unit. Client machines 10 usually access web servers through the connection provided by a cable company, such as RCN.
  • [0036]
    If the interactive television includes Internet access, the client machine 10 typically may include a browser, which is a known software tool used for accessing the Internet. Representative browsers include Netscape Navigator and Microsoft Internet Explorer, although other browsers may be used within the scope of the invention. In such an embodiment, the client 10 may communicate with the ISP server 16. As is well known, the World Wide Web is the Internet's multimedia information retrieval system. In particular, it is a collection of servers of the Internet that use the Hypertext Transfer Protocol (HTTP), which provides users access to files (which can be in different formats such as text, graphics, images, sound, video, etc.) using, e.g., a standard page description language known as Hypertext Markup Language (HTML). HTML provides basic document formatting and allows developers to specify links to other servers and files. These links include “hyperlinks,” which are text phrases or graphic objects that conceal the address of a site on the Web.
  • [0037]
    A user of a client machine 10 having an HTML-compatible browser (e.g., Netscape Navigator) can retrieve a Web page (namely, an HTML formatted document) of a Web site by specifying a link via the URL (e.g., www.yahoo.com/photography). Upon such specification, the client machine makes a transmission control protocol/Internet protocol (TCP/IP) request to the server identified in the link and receives the Web page in return.
  • [0038]
    [0038]FIG. 2 illustrates one embodiment of a client machine 10 that may be used within the scope of the invention. In general, the embodiment of FIG. 2 may be used in an embodiment in which profiling of the user and selecting advertisement or program recommendations are carried out at the client level. The embodiment of FIG. 2 may be used in embodiments with either one-way or two-way communications between the client 10 and the iTV/ISP server 15. The client component 10 may generally be set up with instructions and databases to profile users based on their behavior on the iTV, store program, advertising, and other content, and match the content with the user's profile. The user's profile may be used for targeted advertising or for program recommendations to the user. FIG. 3, which will be discussed in greater detail below, depicts a display screen of one potential program recommendation embodiment. The client 10 may contain an iTV application layer 20, which may contain the standard instructions that allow the user to interact with the iTV, as well as a program module 21. The program module 21 may reside within the set top box of the client 10 or within a separate component at the client level.
  • [0039]
    B. Development of a User Profile
  • [0040]
    In the embodiment of FIG. 2, the program module 21 contains a data collection component that receives data at the set top box as the result of a user interaction with the client device. Typical user interactions include changing the channel, turning the client device on or off, viewing show information through the programming guide, responding to interactive surveys, surfing the web, or sending e-mails, although other types of interactions may also be monitored. Such user-requested content information may be used to build a profile. In one embodiment, the data collection component may be a sniffer 22 that monitors client interactions with the iTV. The sniffer 22 may extract program data as it comes into the set top box in order to monitor the user, and such information may be stored in an interaction database 25, referred to in FIG. 2 as programs and URL data. In other embodiments, the sniffer 22 may detect an outgoing Web page request from the client 10 and extract the actual URL request. In addition, the sniffer 22 may detect other interactions with the iTV client 10, including e-mails, or the sniffer 22 may monitor interacts and search for transactional data and keywords, such as those used in search engines on the World Wide Web. Such information may also be stored in the interaction database 25.
  • [0041]
    The profiler component 23 of the invention may then build a user profile 27 based on the information in the interaction database 25 and data in a local categorized program database 26. User profile information may contain, but is not limited to, demographic data (such as, e.g., the user's age, gender, income, and highest attained education level), psychographic data, which reflects the user's interests or content affinity (such as, e.g., sports, movies, music, comedy), geographic data, and transactional data. In an embodiment using program data collected from the sniffer 22, the local categorized program database 26 may contain demographic information on some or all of the television programs available from entities, such as AC Nielsen, that profile television programs using panels of viewers having known demographic characteristics. In other words, content-associated profile information for various programs may be available from a rating service. Program classification, URL classification, and profile data may be obtained from any third party vendors, such as but not limited to Neilsen NetRatings. In other embodiments, this data may be generated by the system of the invention after profiles are developed as described below. By adding a number of users of known demographics, the system could be configured to generate the program profile data. Furthermore, the overall demographics generated for the other anonymous users in the system could be used to fill out gaps in the program database, i.e., for programs having no classification data.
  • [0042]
    The client profiler 23 extracts from the program database 26 a set of demographic data associated with a particular television program request made by the user, which may be stored in the interaction database 25. The profiler 23 also extracts from the program database 26 content affinity or psychographic data associated with a program request made by the user. Such content affinity and psychographic data may come from a categorized listing of television programs that translate a program identifier into content preferences. The information in the program database 39 may be downloaded from the iTV server 12 to the set top box or client 10 periodically depending on the amount of memory available at the set top box. For set top boxes with very little memory, each hour a program database containing only the data for the programs shown that hour would be sent from the iTV server 12 to the set top box or client 10. It should also be noted that the program database 39 may contain, in some embodiments, profile information and content affinity information for URL addresses or other client interaction data. Such URL information may include demographic or psychographic data that has been compiled by an outside source for given URLs, and such URL information may be gathered in the same manner as program data by the sniffer 22. In addition, the URL information may be used by the profiler 23 in the manner described above and in more detail below.
  • [0043]
    Next, an existing user profile may be accessed from a user profile database 27. The demographic and content affinity data for the program request or URL request made by the user and the user profile are combined to create an updated inferred user profile using a hybrid averaging algorithm. One example of such an algorithm is an algorithm that provides a weighted average of the existing user profile data and the data gathered in the current Web browsing session. For example, the new user profile data equals the existing user profile data multiplied by the number of prior user sessions plus the new user profile data gathered in the current session, all divided by the sum of the number of prior sessions plus one. This is represented in the following equation:
  • new user profile=(existing user profile×number of prior sessions+new user profile)/(number of prior sessions+1).
  • [0044]
    If a user is new and no user profile exists, a profile may be created based on the zip code corresponding to the physical location of the client 10. Zip Code data can also be used to supplement the demographic data supplied by a demographic information provider, such as A C Nielsen. The demographic data supplied by A C Nielsen may be based on the average demographics of people viewing a particular program or, in the case of URLs, the demographic data may be based on the average demographics of the people viewing a particular URL. Other data services, such as Claritas, provide demographics that are based on cluster analysis of people by geographic area. Using both a content-based source and a geographic-based source of demographics may lead to greater accuracy in profiling.
  • [0045]
    As previously discussed, television program profiles or URL profiles available from, e.g., A C Neilsen, are stored in the local categorized program database 26. These program profiles are classified along multiple psychographic and demographic categories. Throughout this specification, the term “content-associated profile information” will be used to refer to psychographic and demographic information, or to psychographic or demographic information. As examples of possible types of content-associated profile information that may be used, the following demographic and psychographic categories can be used:
  • [0046]
    Demographic Categories
  • [0047]
    Gender:
  • [0048]
    Male
  • [0049]
    Female
  • [0050]
    Age:
  • [0051]
    0-11
  • [0052]
    12-17
  • [0053]
    18-20
  • [0054]
    21-24
  • [0055]
    25-34
  • [0056]
    35-49
  • [0057]
    50-54
  • [0058]
    55-64
  • [0059]
    65-99
  • [0060]
    Income:
  • [0061]
    0-24,999
  • [0062]
    25,000-49,999
  • [0063]
    50,000-74,999
  • [0064]
    75,000-99,999
  • [0065]
    100,000-149,000
  • [0066]
    150,000 and up
  • [0067]
    Education:
  • [0068]
    Some High School
  • [0069]
    High School Graduate
  • [0070]
    Some College
  • [0071]
    Associates Degree
  • [0072]
    Bachelor's Degree
  • [0073]
    Post Graduate
  • [0074]
    Occupation:
  • [0075]
    Administrative or Clerical
  • [0076]
    Craftsman
  • [0077]
    Educators
  • [0078]
    Executive
  • [0079]
    Laborer
  • [0080]
    Homemaker
  • [0081]
    Military
  • [0082]
    Professional
  • [0083]
    Sales
  • [0084]
    Service
  • [0085]
    Student
  • [0086]
    Technical
  • [0087]
    Self-employed
  • [0088]
    Retired
  • [0089]
    Race:
  • [0090]
    Hispanic
  • [0091]
    Non-Hispanic
  • [0092]
    African American
  • [0093]
    Caucasian
  • [0094]
    Asian
  • [0095]
    Native American
  • [0096]
    Psychographic Categories
  • [0097]
    Entertainment:
  • [0098]
    Movies/Film
  • [0099]
    Theater
  • [0100]
    TV/Video
  • [0101]
    Drama
  • [0102]
    Mystery
  • [0103]
    Action
  • [0104]
    Family
  • [0105]
    Cartoons
  • [0106]
    Sci-Fi
  • [0107]
    Comedy
  • [0108]
    History
  • [0109]
    Science
  • [0110]
    Soap Opera
  • [0111]
    Game Shows
  • [0112]
    Music
  • [0113]
    Pop
  • [0114]
    Rock
  • [0115]
    Heavy Metal
  • [0116]
    Jazz
  • [0117]
    Classical
  • [0118]
    Opera
  • [0119]
    Rap/Hip Hop
  • [0120]
    R+B
  • [0121]
    Blues
  • [0122]
    Country
  • [0123]
    Dance
  • [0124]
    Games
  • [0125]
    Toys
  • [0126]
    Travel:
  • [0127]
    Air
  • [0128]
    Car Rental
  • [0129]
    Lodging
  • [0130]
    Reservations
  • [0131]
    Maps
  • [0132]
    Finance/Investments:
  • [0133]
    Banking
  • [0134]
    Brokers
  • [0135]
    Quotes
  • [0136]
    Insurance
  • [0137]
    Mortgage
  • [0138]
    Sports:
  • [0139]
    Auto Racing
  • [0140]
    Baseball
  • [0141]
    Basketball
  • [0142]
    Fantasy Sports
  • [0143]
    Football
  • [0144]
    Hockey
  • [0145]
    Soccer
  • [0146]
    Golf
  • [0147]
    Tennis
  • [0148]
    Recreation & Hobbies:
  • [0149]
    Cycling
  • [0150]
    Golf
  • [0151]
    Hiking
  • [0152]
    Sailing
  • [0153]
    Snow Sports
  • [0154]
    Surfing
  • [0155]
    Tennis
  • [0156]
    Home & Garden
  • [0157]
    Pets
  • [0158]
    Genealogy
  • [0159]
    Photography
  • [0160]
    Games
  • [0161]
    Toys
  • [0162]
    Auto:
  • [0163]
    Trucks
  • [0164]
    SUV
  • [0165]
    Sports car
  • [0166]
    News and Information:
  • [0167]
    Magazines
  • [0168]
    Weather
  • [0169]
    Politics:
  • [0170]
    Democrat
  • [0171]
    Republican
  • [0172]
    E-shopping:
  • [0173]
    Groceries
  • [0174]
    Furniture
  • [0175]
    Auctions
  • [0176]
    Cards/Gifts
  • [0177]
    Apparel
  • [0178]
    Books
  • [0179]
    Music
  • [0180]
    TV/Video
  • [0181]
    Software
  • [0182]
    E-purchasing
  • [0183]
    Computers
  • [0184]
    Software
  • [0185]
    Science
  • [0186]
    Employment
  • [0187]
    Education
  • [0188]
    Health & Fitness
  • [0189]
    Medical
  • [0190]
    Pharmacy
  • [0191]
    Dating/Single
  • [0192]
    Advice
  • [0193]
    Beauty
  • [0194]
    Weddings
  • [0195]
    Maternity
  • [0196]
    Spirituality/Religion
  • [0197]
    Astrology
  • [0198]
    Discount
  • [0199]
    Luxury
  • [0200]
    Child
  • [0201]
    Teens
  • [0202]
    College Age
  • [0203]
    Over 18
  • [0204]
    Spanish Language
  • [0205]
    For each viewing of a program having a stored profile, the program profile may be averaged or combined into the user's profile from the user profile database 27 as previously discussed. In other embodiments, the user's profile is updated with program profile information when a program is viewed for a certain period of time, such as 20 minutes or more. Similarly, for each visit to a Web site having a stored profile, the profile for that Web site is averaged or combined into the user's profile as previously discussed. The profiles include a rating in each category that reflects the interest in the category of persons who access the television program or Web site.
  • [0206]
    Each rating is accompanied by a confidence measure, which is an estimate of the accuracy of the rating. The confidence number is determined by analyzing the program or Web site and rating it on the type and specificity of content, with narrower and more singular content providing a higher confidence number. When the confidence measure in a particular category is below a predetermined threshold, information from other user profiles may be used to provide a more accurate rating in a process referred to as “profile completion.”
  • [0207]
    An example of a user's profile is shown below. The first number in each category indicates the rating for that category. The ratings number is a percentage of a maximum rating, representing the degree of the user's affinity to the category. In the example below, the ratings number ranges from 0 to 100 with higher numbers indicating greater affinity. The second number in each category (in parenthesis) represents the confidence level in the rating for that category.
    User Profile
    User ID Sports Finance Movies Music TV . . . Health Gardening
    1 10.0 (.75) 25.0 (.15) 0.0 (1.00) 0.0 (.28) 0.0 (1.00) . . . 50.0 (.77) 85.0 (.82)
  • [0208]
    Suppose the confidence threshold is defined to be 0.50 such that confidence is insufficient in any rating that has a confidence measure less than 0.50. For the user profile in the example table shown above, there is insufficient confidence in the ratings for the finance and music categories. In this situation, the system examines profiles of users with similar profiles to improve the accuracy of the ratings in those categories with low confidence measures.
  • [0209]
    A clustering algorithm can be used to find profiles that are similar to the profile of the current user. In judging the similarity between profiles, the confidence measures are ignored and the profiles are treated as n dimensional ratings vectors. A simple clustering algorithm is used based on the distance between vectors wherein all users whose profiles are within a certain distance of the subject user profile are collected. Then, the weighted average of all of the profiles in the collection is calculated to get an ideal profile for comparing to the subject user profile. If the ideal profile has a rating for the category in question that has an acceptable confidence measure, then this rating (and the accompanying confidence measure) replaces the corresponding rating in the subject user profile. In this way, part of the user profile that have low confidence ratings are “completed” or “filled-in.” An example is shown below.
    Group similar profiles to generate an ideal profile to be used to complete the user's profile
    User ID Profile
    1 10.0 (.89), 21.0 (.75), 0.0 (1.00), 17.0 (.74), 0.0 (1.00), . . ., 52.0 (.64), 95.0 (.90)
    2 12.0 (.77), 5.0 (.15), 0.0 (1.00), 12.0 (.85), 0.0 (1.00), . . ., 40.0 (.84), 90.0 (.75)
    3 11.0 (.81), 20.0 (.77), 0.0 (1.00), 0.0 (1.00), 0.0 (1.00), . . ., 75.0 (.77), 81.0 (.73)
    4 10.0 (.56), 25.0 (.68), 4.0 (.27), 11.0 (.77), 0.0 (1.00), . . ., 55.0 (.80), 85.0 (.85)
    5 12.0 (.75), 22.0 (.77), 0.0 (1.00), 10.0 (.83), 2.0 (.30), . . ., 60.0 (.41), 80.0 (.45)
    Ideal 11.0 (.76), 21.1 (.62), 0.9 (.85), 9.4 (.84), 0.5 (.86), . . ., 55.8 (.69), 87.1 (.74)
    profile
  • [0210]
    In the example above, the ideal profile is calculated in the following manner. The rating for each category in the ideal profile is calculated by multiplying the rating times the confidence measure for each user. These products are then added across users in each category. This sum is then divided by the sum of the confidence measures added across users in the category. In mathematical terms, Rideal,j=ΣRi,jCi,j/ΣCi,j, where Rideal,j is the rating for the ideal profile in category j, Ri,j is the rating in category j for user i, Cij is the confidence measure in category j for user i and the sum is taken over i as i ranges from 1 to n, which is 5 in this example. The confidence measure for each category in the ideal profile is calculated by taking the average of the confidence measure across users in the same category, Cideal,j=ΣCji/n, where Cideal,j is the confidence measure for category j in the ideal profile, Cij is the confidence measure in category j for user i, and the sum is taken over i as i ranges from 1 to n, which is 5 in this example.
  • [0211]
    The ideal profile is used to complete the subject user profile. In the example described above, there was insufficient confidence in the ratings for the user in the finance and music categories. Users having similar profile ratings to the user were found to have a finance category rating of 21.1 with a confidence measure of 0.62. Since the confidence threshold was defined to be 0.50, it is possible to use the ideal profile finance rating of 21.1 (0.62) to replace the user's finance category rating of 25 (0.15). Similarly, the music category rating for similar user profiles was found to have a rating of 9.4 with a confidence measure of 0.84. This is greater than the threshold and is used to complete the subject user profile. The music category computation illustrates how the system is able to advantageously infer that the user may have an interest in the category despite the fact that he or she has not visited any ITV programs related to that category. The completed subject user profile now appears as follows:
    ‘Completed’ User Profile
    User ID Sports Finance Movies Music TV . . . Health Gardening
    1 10.0 (.75) 21.1 (.62) 0.0 (1.00) 9.4 (.84) 0.0 (1.00) . . . 50.0 (.77) 85.0 (.82)
  • [0212]
    In order to protect the privacy of users, the system may not keep data on which programs have been viewed or which Web sites have been visited by users for any long term period. Once data in the interaction database 25 has been used for updating a user profile, it is erased. Thereafter, it may not be possible to match users with particular programs viewed or Web sites visited.
  • [0213]
    [0213]FIGS. 4 and 4a depict an embodiment of the invention that may be used where two-way communications between the client 10 and the iTV/ISP server 15 are possible. In the embodiment of FIGS. 4 and 4a, the sniffer and profiler exist on the server level at the iTV/ISP server 15, which, for simplification, is depicted as the ISP P.O.P. server 16 in FIGS. 4 and 4a. Referring to FIG. 4a, the data collection component in this embodiment is the sniffer, which resides in the ISP server 16. This sniffer may function in the same manner as described above in connection with FIG. 2, and may generally detect and store the user's program or URL requests if such requests pass through the ISP server 16. Such information may be stored in the user ID and URL database 30 of FIG. 4a. Because multiple clients 10 may be connected to the server 16 in this embodiment, the user's IP address or iTV address may be stored in the database 30. Because IP addresses are typically assigned dynamically, they are not necessarily the same every time a client logs into the ISP. To correlate an IP address with the associated client 10, the data collection component queries an IP address to anonymous user ID (AID) cross-reference table stored in another database at the ISP server 16. It then stores the User ID and URL/program information in the database 30.
  • [0214]
    The profiler component of FIG. 4a also works in a similar manner to that of the profiler 23 of FIG. 2. The profiler of FIG. 4a gathers a user's ID and URL or program data from the database 30 and develops a user profile using the localized categorized data in database 32, which may contain demographic and/or psychographic data for URLs and/or programs similar to that of program database 26 of FIG. 2. The user's profile may be generated in a similar manner to that described above, and the user's profile along with ID may be stored in the local user profile database 34 in the ISP server 16.
  • [0215]
    It should be noted that other embodiments may also be used when two-way communications are possible. In one such embodiment, the sniffer 22 and profiler 23 may function at the client level as in FIG. 2, and the user profile may be periodically sent back to the user profile database 34 on the server level (iTV server 12 or ISP server 16 ). The server level may then contain the profiles of all users that receive content from that server. In still other embodiments, the sniffer 22 and profiler 23 may exist at both the client level and at the server level. In one embodiment, the sniffer 22 and profiler 23 at the client 10 may develop a profile for television programs, while a sniffer and profiler at the server level may develop profiles based on URL requests, e-mails, or other information. In such an embodiment, the profiles at the client level and server level may be kept separate or may be combined into a single profile.
  • [0216]
    C. Recommendations and Targeted Advertising
  • [0217]
    In accordance with one embodiment of the invention, the system may selectively deliver content, e.g., advertisements, program recommendations, or the like, to users based on the profiles inferred in the manner described above. A personalized agent, or matcher, may make recommendations of content, such as programs, to a user based on the user's profile and history or based on other users'0 profiles or histories. In one embodiment, the iTV server 12 broadcasts information to each of the clients 10 connected to that service, and the content, which may include programs, may be stored in the program database 26 or in the local ad database 28. In general, the client 10 uses the profile stored in the profile database 27 to filter out content being sent from the iTV server 12 and to recommend or retrieve content that appears to be suited to the user. A variety of information may be sent from the iTV server 12 to the clients 10, including programs and advertisements.
  • [0218]
    In one embodiment, the personalization agent can generate program recommendations based on the past viewing behavior of the user. In addition to program recommendations, an interactive program guide that may appear on the user's display when using iTV may be automatically rearranged so that the channels or programs that are most commonly watched by the user appear at the top of the guide. Typical guides, on the other hand, currently list the channels in numerical order or start with the major networks followed by the remaining channels in numerical order. With current cable systems having in excess of 300 channels for users to choose from, it can be difficult for users to find information on the shows they are interested in if all channels are simply listed in numerical order. FIG. 3 illustrates one embodiment of a display that may be presented to a user to show recommendations, which may be generated by the personalization agent. The top portion 31 of the programming guide screen of FIG. 3 shows the recommended content that the user may be most likely to be interested in based on the user's profile. In FIG. 3, a number of sporting events are depicted in the 7:00 PM time slot, which may indicate that the user's profile shows that the user is interested in sports. This top portion 31 may also contain a list of the television stations most commonly watched by the user. The bottom portion 33 of the programming guide screen of FIG. 3 shows the standard programming guide in which the programs are listed for each time period in numeric order based on the number of the channel. In the depicted embodiment of FIG. 3, the recommended content and the standard programming guide (top portion 41 and bottom portion 42) may be included on a single screen, although in other embodiments only the top portion 41 may be displayed.
  • [0219]
    Referring again to FIG. 2, the matcher 24 or personalization agent that may be used to generate content recommendations is depicted on the client 10. The embodiment described below is for recommending television programs using iTV, although a similar procedure may be used to generate recommended Web sites or other content within the scope of the invention. In an iTV embodiment, recommendations may be generated whenever the user requests one through the iTV graphical user interface, typically a programming guide. The request is generally made through the use of an input device such as a remote control or a keyboard. Alternatively, recommendations may be automatically generated when the user selects the programming guide with the remote control. In some cases the guide automatically appears when the user turns on the television set. In either embodiment, the recommendation request may be sent to the set top box and the iTV client application layer 20 may forward the request to the matcher component 24 of the client 10.
  • [0220]
    The matcher component 24 may then query the profiler 23 or user profile database 27 to get the user's profile. In addition, the matcher component 24 may query the program database 26 to ascertain which programs are currently showing or are showing in the near future. The matcher 24 may then find the programs that best match the user's interests and return those programs to the application layer 20, which will send the recommendations to the display screen. The program database 26 may contain program information that is downloaded from the iTV server 12, as discussed above in connection with the profiler 23. Such program information may have associated demographic/psychographic information that may be used by the matcher 24 to determine which programs best match the user's interests based on the user's profile. Recommendations may, in one embodiment, be stored in a recommendations database 29, as shown in FIG. 2. It should be noted that certain networks or television shows may wish to advertise shows through the use of a recommendation agent. Such shows may be recommended to users based on the profiles of the users, and the networks or shows may therefore have a targeted method of advertising for television shows. In addition, Web sites may have a similar method of targeted advertising.
  • [0221]
    The sniffer 22, profiler 23, and matcher 24 may be used to target content for the user based on a variety of factors considered in building a user profile. Such an approach may provide for an accurate measure of the user's interests, and hence for accurate matching using the matcher 23. Novelty of certain behaviors of the user may factor into the profile of the user built using the method above. For instance, user behavior that is new from what the user has done in the past may be built into the user profile. As an example, a user may watch a boxing match after watching no sporting events for a long period of time, and this may be built into the user's profile. Interest in certain behaviors may be built into a user's profile through the use of the confidence measure. Interest could be measured by length of time spent at a URL address, length of time spent viewing a certain program or channel, or repeated visits to the same Web site or television channel. As such, the matcher 24 may use a wide variety of behavioral information of the user, and not a single behavior, such as purchases of books, to focus in providing content. In addition, the mode the user is in when surfing the Web or watching television may be considered. For instance, the confidence measure of interest in an activity may be low when the user is surfing the Web or television channels. In such cases, the amount of time spent on certain Web sites or channels may be comparatively small, and this may factor into the user's profile. Similarly, if a user shops frequently using such channels on television or Web sites, this may be factored into the user's profile so that such content may be recommended to the user.
  • [0222]
    Using the methods described above, the matcher 24 may be able to recommend content within specific categories for the user. For instance, the user's profile may be constructed to include levels of interest for various types of sporting activities. The iTV system could be set up to allow the user to request channels with sporting activities to view on television or Web sites with sporting activities, and the matcher 24 could find sporting activities that the user is more likely to enjoy based on that user's profile. Similarly, such a method could be used for to recommend specific shopping channels or sites to the user. As such, the user could be provided with program recommendations within a number of categories, including but not limited to sporting activities and shopping.
  • [0223]
    In systems where two-way communication is available between the client 10 and the iTV/ISP server, the above functions for the matcher 24 may be carried out at the server level instead of at the client-level. In one embodiment, recommendations for a given user may be generated based on the preferences of other users with viewing habits similar to that of the user. In such an embodiment, the user's profile may be sent to the iTV/ISP server 15 or the master server 18 upon a user's request for recommendations. The iTV/ISP server 15 or the master server 18 may contain a database of user profiles, and this database of user profiles may be used to determine which programs a user is likely to be interested in. Such a program may then be delivered to the client 10.
  • [0224]
    Another embodiment of the invention also allows advertisers to target advertisements based on the profiles of users. Among other possibilities, such targeted advertisements may be banner ads displayed when the user is using the Internet or television advertisements displayed when the user is viewing television. In general, the advertisers may be allowed to select a requested profile for users who will receive the advertisements, and the profiles of the users may be used to match advertising content to the user's profiles.
  • [0225]
    In order to provided for targeted advertisements in this manner, a dynamic campaign manager component, as shown in FIG. 8, may reside on the master server 18. Such a master server 18 and dynamic campaign manager may provide a portal to the system for advertisers (i.e., ad buyers) to select a targeted audience for a particular advertising campaign. In choosing the target audience, the advertiser is given various options regarding the demographic and psychographic characteristics of the desired audience for the ad. The dynamic campaign manager component, which may be an interface program that allows an advertiser to select content, takes information entered by an advertiser, creates an advertisement profile, and stores this data in an ad campaign database 60. In an embodiment in which there is one-way communication between the iTV/ISP server 15 and the client 10, the desired profile from the ad campaign database 60 is sent along with the ad to the local ad database 28 (FIG. 2) of the client 10 via the ad server 17, which generally provides an interface for advertisers in traditional iTV systems.
  • [0226]
    In an embodiment where one-way communication between the client and the iTV/ISP server 15 is used, the master server 18 of FIG. 8 may have relatively few components. The information in the local ad database 28 is then used by the matcher component 24 of the client 10 to find the best ad for the user to view. The best ad for the user to view may be selected by the matcher component 24 in the manner described above in connection with providing content recommendations. In this embodiment, a large number of advertisements may be sent to the client 10, and then the matcher 24 may filter those advertisements so that the viewer is provided with the most relevant advertisements based on the user's profile. It should be noted that such an embodiment may also be used for banner advertisements presented when the user is connected to the Internet. For instance, the URLs of a number of banner advertisements may be delivered to the local ad database 28 of the client 10, and the matcher 24 may then select the most relevant banner advertisements based on the profile of the user. FIG. 6 is a screen shot 50 of a sample banner ad pop-up. The pop-up window may include a “close” button, which allows a user to dismiss the window if desired. The window size, position, and order in the window stack may be remotely configurable. If the user clicks on the banner or some link therein (i.e., clicks-through), that destination is brought up in a browser window, and the user is transferred to the site of interest. In such a manner, targeted advertisements may be presented to the user.
  • [0227]
    Targeted advertising may also be accomplished using other techniques. In an embodiment where there is two-way communication between the iTV/ISP server 15 and the clients 10, the advertising system may operate in a different manner, although it may continue to function as described above. In one embodiment, the profiles of a plurality of local users may be stored in a master user profile database 50 on the master server 18, as shown in FIGS. 8 and 9. This database 50 may be queried by the data analysis system to project the number of users of a particular profile that may be available to receive an ad. The data analysis system takes advertising profile data from the ad campaign database 60 and matches it to user profiles from the master user profile database 50. Such a master user profile database 50 may contain a number of user profiles. In addition, during the course of an advertising campaign, the data analysis system may take data from the master client response database 52 (FIG. 9), which includes client response information on content sent to the client 10, to refine the user profiles selection. The data analysis system may write the results of matches to the advertisement database 62. The master scheduler takes data from the advertisement database 62, resolves any conflicts, and writes the data to the master advertisement delivery database 54, which may be used to schedule delivery of targeted advertisements to various users.
  • [0228]
    D. Distributed Architecture Embodiment
  • [0229]
    A direct client communications component may be used in some embodiments of the invention, and in particular in embodiments using two-way communication between the client 10and the iTV/ISP server 15. Such a direct client communications component may provide a number of services, as described below. As illustrated in FIG. 5, a direct client communications component may selectively retrieve content in the form of URLs from a local advertisement database 40 on the ISP server 16, and send it to client machines 10. The content is displayed on the client machine 10 using the URL display component as described.
  • [0230]
    The direct client communications component associates a client's permanent anonymous user ID and the currently assigned IP address and stores the data in the IP address to an AID cross-reference table, which allows identification of a particular client in spite of a changing IP address. The direct client communications component also optionally communicates to the ISP server 16 the details of a given client's computer configuration (e.g., which multimedia plug-ins are installed, the bandwidth of the Internet connection, etc.). This information can be used by the system to help ensure that rich-media content is delivered only to those client machines 10 that have the ability to easily and quickly display such content. The direct client communications component may also communicate to the client machine 10 the availability of any new versions of URL display software and indicate how they can be downloaded. The URL display component can then initiate an automated download/install process for the software update if desired by the user.
  • [0231]
    The URL display component, which may reside on an individual client machine 10, may periodically connect to the direct client communications component and download a list of URLs (linked to content such as advertisements) to be displayed on the client machine 10. The URL display component then uses the URLs to retrieve the actual content pointed to by the URL, and displays the content on the client machine 10 display. The content may be displayed in a non-obtrusive manner, such as the pop-up window of FIG. 6. In this manner, targeted advertising using banner ads or the like may be provided in an additional manner to that described above. The URL display component may also record feedback information on the user's response to the delivered content. This data can include, e.g., how long the advertisement was displayed and whether there was a click-through by the user. This data is sent to the direct client communications component on the ISP server 16, which stores it in a local client response database 42, as seen in FIG. 5. This data can be used for billing advertisers and/or for advertising campaign result tracking as will be discussed below.
  • [0232]
    Since the URL display component may reside on the client machine 10, it may be desired to make limited resource demands on the client 10 (e.g., on the client machine memory, CPU time and monitor space, Internet bandwidth, etc.). Accordingly, the URL display component may monitor the Internet connection and only download the actual content data (pointed to by the URLs) when the connection is idle. Software updates may also be downloaded only when the connection is idle. In addition, the URL display component may monitor the client machine CPU usage, the unused real estate on the display, the currently active application and any other relevant parameters to ensure that the content placement (i.e., the pop-up advertisement) and timing is both effective and not intrusive or annoying to the user. The URL display component may also monitor the versioning of the files required for software updates and download only the software files that have changed.
  • [0233]
    The data collection, delivery and display components residing at the ISP server 16 and individual client machines 10 described above may be designed to operate “stand-alone,” i.e., independently of and without interaction with the master server 18 for at least some period of time. The system, however, may synchronize data between the master server 18 and the ISP server 16 from time to time as illustrated in FIG. 7. A master server synchronization component residing at the master server 18 and at the POP server 16 periodically retrieves the local client profile database 34 and integrates the data into the master client profile database 50 located at the master server 18. It also retrieves the local client response database 42 and integrates the data into the master client response database 52. The master server synchronization component also parses through a master advertisement delivery database 54 looking for anonymous user IDs that correspond to the local POP and creates the local advertisement delivery database 40 on the ISP POP. It also replicates a master categorized URL database 56 on the local categorized URL database 32.
  • [0234]
    This distributed architecture greatly reduces the bandwidth requirements of the individual ISP POP server 16 as well as the master server 18. In addition, it significantly enhances the scalability of the overall system. Also, it increases the fault tolerance of the overall system. Furthermore, is allows for rapid deployment, easy debug and monitoring, resulting in a robust system.
  • [0235]
    E. Monitoring of Advertising Campaigns
  • [0236]
    In a one-way communication embodiment between the client 10 and the iTV/ISP server 15, an advertiser may be able to monitor the success of an ad campaign by being provided with an approximate number of users with the desired profile for the advertisement. In addition, traditional questionnaire methods may be used to determine the success of an ad campaign. Such methods may provide the advertiser with some degree of awareness as to the success of an ad campaign.
  • [0237]
    In other embodiments, such as those with two-way communication between the client 10 and the iTV/ISP server, an advertiser can monitor the success of a current ad campaign through the dynamic campaign manager shown in FIGS. 8 and 9. For example, for the use of banner ads using the Internet, the advertiser can monitor the number of times content has been delivered as well as the number of click-throughs on that content. In general, the advertiser may be given access to the master client response database 52 for an ad campaign to determine how many users have viewed advertisements. For embodiments with advertisements provided on television, a record of those ads viewed by each user may also be maintained in the master client response database 52 in a two-way communication embodiment. An advertiser may then determine the number of times a certain ad has been viewed by a single user and the number of times the ad has been viewed by all users using two-way communication systems of the invention.
  • [0238]
    The system may also be adaptive in that the advertiser can, if desired, change its marketing strategy (e.g., by adjusting the profile of the targeted audience) at various points in the campaign to optimize results. Thus, campaigns can be altered dynamically based on changing requirements from the advertiser or feedback provided by the system. Campaign management by an advertiser may be accomplished through a browser-based console through the master server 18. The advertiser can use it to define campaigns, provide content, and alter target groups. Feedback as to the success rate of an ad campaign that is in progress may also accessible using such a console.
  • [0239]
    [0239]FIG. 10 illustrates the billing component of one embodiment of the invention. Such an embodiment may be used in systems with two-way communication between the client 10 and the iTV/ISP server 15, and such an embodiment may be used for billing for television ads and banner ads for the Internet. The billing component may reside on the master server 18 and monitors the status of an advertising/content campaign, recognizes whether certain billing milestones have been met (e.g., whether an ad has been displayed a given number of times), and generates actual invoice information to be sent to advertisers. The billing component periodically queries the master client response database 52 to determine the current status of a particular advertising campaign. If predefined billing milestones have been reached, the billing component retrieves specific customer (i.e., advertiser) information from the advertisement campaign database 60 to generate formatted invoices for billing purposes.
  • [0240]
    Having described a number of embodiments of the present invention, it should be apparent that modifications can be made without departing from the spirit and scope of the invention. Accordingly, the drawings and above description are to be regarded as illustrative in nature and not in a restrictive or limiting sense, with the scope of the invention being indicated in the claims.

Claims (69)

what is claimed is:
1. A method for profiling an iTV user, comprising:
gathering user-requested content information from iTV interactions;
correlating content-associated profile information from a rating service with the user-requested content information; and
developing a profile of the user based on the content-associated profile information correlated with the user-requested content information.
2. The method of claim 1, wherein the content-associated profile information contains demographic information.
3. The method of claim 1, wherein the content-associated profile information contains psychographic information.
4. The method of claim 1, wherein the user-requested content information is a program.
5. The method of claim 4, further comprising receiving a database associating a plurality of programs with content-associated profile information of viewers of the programs.
6. The method of claim 5, wherein said database is developed by a television program ratings service.
7. The method of claim 5, wherein gathering user-requested content information comprises identifying program requests made by the user while watching television.
8. The method of claim 7, wherein developing a profile of a user comprises combining the profiles of the programs viewed by the user to the existing user profile using an averaging algorithm.
9. The method of claim 1, further comprising receiving a plurality of advertisements along with desired viewer profiles.
10. The method of claim 9, further comprising presenting at least one of the advertisements based on the user's profile.
11. The method of claim 1, further comprising delivering program recommendations to the user based on the user's profile.
12. The method of claim 1, wherein the user-requested content information is a program and a URL.
13. The method of claim 12, further comprising receiving a database associating a plurality of programs with content-associated profile information of viewers of the programs and associating a plurality of URLs with content-associated profile information of visitors to the URL address.
14. The method of claim 13, wherein the information in the database is developed by a television program ratings service and a Web site ratings service.
15. The method of claim 14, wherein gathering user-requested content information comprises identifying program requests made by the user while watching television and identifying URLs requested by the user.
16. The method of claim 15, wherein developing a profile of a user comprises combining the profiles of the programs viewed by the user and profiles of the URLs accessed by the user to the existing user profile using an averaging algorithm.
17. A set-top box for profiling an iTV user, comprising:
a memory for storing a program; and
a processor operative with the program to:
(a) gather user-requested content information from iTV interactions;
(b) correlate content-associated profile information from a rating service with the user-requested content information; and
(c) develop a profile of the user based on the content-associated profile information correlated with the user-requested content information.
18. A computer readable medium comprising instructions for profiling an iTV user by performing the acts of:
gathering user-requested content information from iTV interactions;
correlating content-associated profile information from a rating service with the user-requested content information; and
developing a profile of the user based on the content-associated profile information correlated with the user-requested content information.
19. A method for targeted advertising to an iTV user, comprising:
receiving a plurality of advertisements, wherein each of the advertisements includes advertising information containing instructions with desired iTV user profiles for the advertisement;
using a developed user profile along with the desired iTV user profiles from the plurality of advertisements to determine which of the plurality of advertisements to present to the iTV user as a targeted advertisement; and
presenting the targeted advertisement to the iTV user.
20. The method of claim 19, wherein the acts of receiving, using, and presenting are carried out in a set top box of the iTV user.
21. The method of claim 20, further comprising:
developing the developed user profile by gathering user-requested content information from iTV interactions, correlating content-associated profile information from a rating service with the user-requested content information, and developing the developed user profile based on the content-associated profile information correlated with the user-requested content information.
22. A method of profiling an iTV user, comprising:
providing profiles on a plurality of iTV programs;
monitoring which of said plurality of iTV programs the user accesses; and
developing a profile of the user based on the profiles of the iTV programs accessed by the user.
23. The method of claim 22, wherein the profile of the user contains demographic data.
24. The method of claim 23, wherein said demographic data includes data on the user's age.
25. The method of claim 23, wherein said demographic data includes data on the user's gender.
26. The method of claim 23, wherein said demographic data includes data on the user's income.
27. The method of claim 23, wherein said demographic data includes data on the user's highest attained education level.
28. The method of claim 22, wherein the profile of the user contains psychographic data.
29. The method of claim 28, wherein said psychographic data includes data on the user's interests.
30. The method of claim 22, wherein providing profiles on a plurality of programs comprises providing a database associating each of said plurality of programs with demographic characteristics of known persons who have accessed said sites.
31. The method of claim 23, wherein said database is provided by a television program ratings service.
32. The method of claim 22, wherein monitoring which of said plurality of programs the user views comprises identifying program requests made by the user while watching television.
33. The method of claim 32, wherein said program requests are identified at the set-top box of an interactive television.
34. The method of claim 32, wherein said program requests are identified at the iTV Service Provider point of presence.
35. The method of claim 34, wherein said program requests are associated with a user and stored in a database.
36. The method of claim 22, wherein developing a profile of a user comprises updating an existing user profile.
37. The method of claim 36, wherein developing a profile of a user comprises combining the profiles of programs viewed by the user to the existing user profile using an averaging algorithm.
38. The method of claim 37, wherein said user profile includes data on a plurality of demographic categories, each associated with a rating, and the method further comprises filling in a value for the rating for any demographic category having a low confidence measure.
39. The method of claim 38, wherein filling in a value comprises using an average rating of persons having similar profiles to that of said user for a category having a low confidence measure.
40. The method of claim 39, wherein said average rating is determined using a clustering algorithm.
41. The method of claim 22, further comprising erasing records of which programs said user has viewed after developing the user's profile.
42. The method of claim 22, further comprising matching selective advertising to said user based on his or her profile.
43. The method of claim 42, wherein delivering selective advertising comprises transmitting a pop-up advertisement to a display of a television operated by the user.
44. The method of claim 42, wherein delivering selective advertising comprises transmitting a video advertisement in the programming stream to the display of a television operated by the user.
45. The method of claim 22, further comprising providing program recommendations to the user based on the profile of the user.
46. The method of claim 45, wherein the program recommendations are based on viewing habits of users with profiles similar to the profile of the user.
47. The method of claim 45, wherein the program recommendations are generated upon a request by the user.
48. The method of claim 45, wherein the program recommendations are generated automatically when the user turns on a television.
49. The method of claim 45, wherein the program recommendations are presented in the form of a program guide that presents the user's favorite programs first.
50. A set-top box for profiling an iTV user, comprising:
a memory for storing a program; and
a processor operative with the program to:
(a) monitor which of a plurality of programs the user views; and
(b) develop a profile of the user based on predetermined profiles of the programs viewed by the user.
51. The set-top box of claim 50, further comprising a database associating each of said plurality of television programs with demographic characteristics of persons viewing said programs.
52. The set-top box of claim 50, further comprising a database in which program requests of the user and associated user information are stored.
53. The set-top box of claim 50, wherein said processor includes means for erasing records of which programs said user has viewed after developing the profile of the user.
54. The set-top box of claim 50, wherein said processor further transmits selective advertising to said user based on the profile of the user.
55. The set-top box of claim 54, wherein said advertising comprises a pop-up advertisement to be displayed on an iTV of the user.
56. The set-top box of claim 50, wherein said set-top box cooperates with an iTV operated by the user to display an advertisement on the iTV, said advertisement being selected from a plurality of advertisements based on the profile of the user.
57. A computer for profiling an iTV user, comprising:
a memory for storing a program; and
a processor operative with the program to:
(a) monitor which of a plurality of programs the user views; and
(b) develop a profile of the user based on predetermined profiles of the television programs viewed by the user.
58. The computer of claim 57, wherein said computer comprises an ISP point of presence server.
59. A system for delivering selective advertising to an iTV user, comprising:
a database containing profile data on a plurality of iTV programs;
means for monitoring which of said plurality of iTV programs the user accesses;
means for developing a profile of the user using profile data of the iTV programs accessed by the user; and
means for matching the user with an advertisement based on the developed user profile.
60. A system for delivering targeted advertisements to a client iTV of a user, comprising:
a local server computer for providing iTV access to the user;
a set-top box at the client iTV linked to the local server computer, the set-top box including means for monitoring which of a plurality of iTV programs the user accesses and means for developing a profile of the user based on predetermined profile data of iTV programs accessed by the user;
a remote server computer linked to said local server computer and including means for providing an advertisement to a desired user based on the profile of the desired user and means for transmitting said advertisement to said local server computer for eventual transfer to the set-top box; and
wherein the set-top box further contains means for matching the advertisement with the profile of the user.
61. The system of claim 60, wherein said local server computer includes a local database containing data associating a plurality of iTV programs with predetermined profile data on the iTV programs.
62. The system of claim 60, wherein said means for monitoring comprises identifying program requests made by the user while viewing iTV.
63. The system of claim 60, wherein the set-top box further comprises means for monitoring how long the advertisement is displayed to the user.
64. A computer readable medium comprising a program for profiling an iTV user by performing the acts of:
monitoring which of a plurality of fly programs having predetermined profiles the user accesses; and
developing a profile of the user based on the profiles of the ITV programs accessed by the user.
65. The computer readable medium of claim 64, wherein the medium comprises a removable memory.
66. The computer readable medium of claim 64, wherein the medium comprises a signal transmission.
67. A computerized method of profiling iTV users and selectively delivering content to said users, comprising:
providing profiles of a plurality of iTV programs, said profiles including demographic data of persons known to have viewed the iTV programs;
monitoring which of said plurality of iTV programs each of said users visits;
inferring a profile of each user based on the profiles of the iTV programs visited by the user;
identifying a target group of said users who would be receptive to receiving certain content based on the profiles of the target group; and
selectively delivering the content to users of the target group.
68. The computerized method of claim 67, further comprising adjusting the target group to optimize user responsiveness to the content.
69. A program module for a set-top box, comprising:
a sniffer for gathering user-requested content information from iTV interactions of a user;
a profiler for correlating content-associated profile information from a rating service with the user-requested content information and for developing a profile of the user; and
a matcher for recommending content to the user based on the profile of the user.
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PCT/US2002/017863 WO2002102030A3 (en) 2001-06-07 2002-06-07 METHOD AND SYSTEM FOR PROFILING iTV USERS AND FOR PROVIDING SELECTIVE CONTENT DELIVERY
CA 2449749 CA2449749A1 (en) 2001-06-07 2002-06-07 Method and system for profiling itv users and for providing selective content delivery
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Cited By (197)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020073419A1 (en) * 2000-11-28 2002-06-13 Navic Systems, Incorporated Using viewership Profiles for targeted promotion deployment
US20020087580A1 (en) * 2000-11-28 2002-07-04 Lacroix John Generating schedules for synchronizing bulk data transfers to end node devices in a multimedia network
US20030005067A1 (en) * 2001-06-29 2003-01-02 Martin Anthony G. System and method for using continuous messaging units in a network architecture
US20030070167A1 (en) * 2001-04-18 2003-04-10 Alex Holtz Advertisement management method, system, and computer program product
US20030088872A1 (en) * 1997-07-03 2003-05-08 Nds Limited Advanced television system
US20030135858A1 (en) * 2002-01-09 2003-07-17 Hiroyuki Nemoto Vehicle receiver and vehicle-mounted system
US6637029B1 (en) 1997-07-03 2003-10-21 Nds Limited Intelligent electronic program guide
WO2003090040A2 (en) * 2002-04-22 2003-10-30 General Electric Company Targeting content by predicting group membership
US20040024753A1 (en) * 2001-11-27 2004-02-05 Chane Lena D. Broadcast database
US20040025174A1 (en) * 2002-05-31 2004-02-05 Predictive Media Corporation Method and system for the storage, viewing management, and delivery of targeted advertising
US20050022229A1 (en) * 2003-07-25 2005-01-27 Michael Gabriel Content access control
US20050039206A1 (en) * 2003-08-06 2005-02-17 Opdycke Thomas C. System and method for delivering and optimizing media programming in public spaces
US20050071325A1 (en) * 2003-09-30 2005-03-31 Jeremy Bem Increasing a number of relevant advertisements using a relaxed match
US20050080772A1 (en) * 2003-10-09 2005-04-14 Jeremy Bem Using match confidence to adjust a performance threshold
US20050204276A1 (en) * 2001-02-05 2005-09-15 Predictive Media Corporation Method and system for web page personalization
FR2867647A1 (en) * 2004-03-12 2005-09-16 France Telecom Popup information e.g. text message, processing method, involves restoring multimedia data flow, and sending information characteristics to analysis filter for sending or not information to restoration terminal to restore information
US20060059260A1 (en) * 2002-05-21 2006-03-16 Koninklijke Philips Electrics N.V. Recommendation of media content on a media system
US20060179414A1 (en) * 2005-02-04 2006-08-10 Musicstrands, Inc. System for browsing through a music catalog using correlation metrics of a knowledge base of mediasets
US20060195468A1 (en) * 2005-02-21 2006-08-31 Satoru Yanagi System And Device For Providing Contents
US20060195441A1 (en) * 2005-01-03 2006-08-31 Luc Julia System and method for delivering content to users on a network
US20060252476A1 (en) * 2005-05-09 2006-11-09 Tarek Bahou Fantasy sports system and method thereof
US20060271997A1 (en) * 2005-01-05 2006-11-30 Ronald Jacoby Framework for delivering a plurality of content and providing for interaction with the same in a television environment
US20060271953A1 (en) * 2005-01-05 2006-11-30 Ronald Jacoby System and method for delivering personalized advertisements
US20060274740A1 (en) * 2005-06-03 2006-12-07 Sbc Knowledge Ventures Lp Method and apparatus for business to consumer channeling over wireless access networks
US20060274765A1 (en) * 2005-06-03 2006-12-07 Sbc Knowledge Ventures Lp Method and apparatus for managing broadband residential gateway
US20060288362A1 (en) * 2005-06-16 2006-12-21 Pulton Theodore R Jr Technique for providing advertisements over a communications network delivering interactive narratives
US20070011039A1 (en) * 2003-03-25 2007-01-11 Oddo Anthony S Generating audience analytics
US20070011702A1 (en) * 2005-01-27 2007-01-11 Arthur Vaysman Dynamic mosaic extended electronic programming guide for television program selection and display
US20070061831A1 (en) * 2005-09-09 2007-03-15 Sbc Knowledge Ventures L.P. IPTV channel usage and video delivery path monitoring architecture
US20070067800A1 (en) * 1998-06-29 2007-03-22 Nds Limited Advanced television system
US20070078836A1 (en) * 2005-09-30 2007-04-05 Rick Hangartner Systems and methods for promotional media item selection and promotional program unit generation
US20070088605A1 (en) * 2005-10-19 2007-04-19 Yahoo! Inc. System and method for achieving linear advertisement impression delivery under uneven, volatile traffic conditions
US20070101361A1 (en) * 2005-10-27 2007-05-03 Spielman Howard L Distribution of advertising content for an entertainment device
US20070101365A1 (en) * 2005-10-27 2007-05-03 Clark Darren L Advertising content tracking for an entertainment device
US20070162546A1 (en) * 2005-12-22 2007-07-12 Musicstrands, Inc. Sharing tags among individual user media libraries
US20070203790A1 (en) * 2005-12-19 2007-08-30 Musicstrands, Inc. User to user recommender
US20070240179A1 (en) * 2006-03-28 2007-10-11 Lavigne Robert T Smart channel-surfer system
US20070245372A1 (en) * 2006-01-31 2007-10-18 Brother Kogyo Kabushiki Kaisha Management device, method and program for monitoring video data transmitted via network
US20070244880A1 (en) * 2006-02-03 2007-10-18 Francisco Martin Mediaset generation system
US20070255755A1 (en) * 2006-05-01 2007-11-01 Yahoo! Inc. Video search engine using joint categorization of video clips and queries based on multiple modalities
US20070265979A1 (en) * 2005-09-30 2007-11-15 Musicstrands, Inc. User programmed media delivery service
GB2438645A (en) * 2006-05-30 2007-12-05 Motorola Inc System for content item recommendation
US20070283384A1 (en) * 2006-05-31 2007-12-06 Sbc Knowledge Ventures, Lp System and method of providing targeted advertisements
US20070294721A1 (en) * 2006-06-20 2007-12-20 Sbc Knowledge Ventures, Lp System and method of providing supplemental video content related to targeted advertisements in a video stream
US20080016540A1 (en) * 2006-07-13 2008-01-17 Sbc Knowledge Ventures, L.P. System and method for a video content service monitoring & provisioning architecture
US20080028423A1 (en) * 2006-07-31 2008-01-31 Samsung Electronics Co., Ltd. Digital broadcasting system and method thereof
US20080059308A1 (en) * 2006-09-02 2008-03-06 David Gerken Methods and apparatus for using poll results to target and/or select advertisements
US20080092155A1 (en) * 2006-09-29 2008-04-17 United Video Properties, Inc. Systems and methods for automatically identifying a user profile
US20080092161A1 (en) * 2006-09-27 2008-04-17 Global Vision System Co., Ltd. Interactive television service system for providing personalized advertising message
US20080134228A1 (en) * 2006-11-30 2008-06-05 Alcatel Customer Loyalty Based System Internet Protocol Television Advertising Mechanism
US20080133601A1 (en) * 2005-01-05 2008-06-05 Musicstrands, S.A.U. System And Method For Recommending Multimedia Elements
US20080154955A1 (en) * 2006-12-21 2008-06-26 Yahoo! Inc. Providing multiple media items to a consumer via a simplified consumer interaction
US20080275772A1 (en) * 2007-05-01 2008-11-06 At&T Knowledge Ventures, Lp System and method of facilitating targeted content delivery
US20080281698A1 (en) * 2007-05-11 2008-11-13 Verizon Services Organization Inc. Systems and methods for using value-added services records to provide targeted marketing services
US20080301727A1 (en) * 2007-02-01 2008-12-04 Cristofalo Michael Intelligent targeting of tags in a broadcast network
US20080307066A1 (en) * 2007-06-07 2008-12-11 Qurio Holdings, Inc. Systems and Methods of Providing Collaborative Consumer-Controlled Advertising Environments
US20080306807A1 (en) * 2007-06-05 2008-12-11 At&T Knowledge Ventures, Lp Interest profiles for audio and/or video streams
US20090006187A1 (en) * 2007-06-28 2009-01-01 Andrew Marcuvitz Profile based advertising method for out-of-line advertising delivery
US20090070797A1 (en) * 2006-03-31 2009-03-12 Arun Ramaswamy Methods, systems, and apparatus for multi-purpose metering
US20090077469A1 (en) * 2007-09-14 2009-03-19 I-Fax.Com Inc. System for Managing Multi-Media Content Across Multiple Software Applications
US20090083307A1 (en) * 2005-04-22 2009-03-26 Musicstrands, S.A.U. System and method for acquiring and adding data on the playing of elements or multimedia files
US7516118B1 (en) * 2003-12-31 2009-04-07 Google Inc. Methods and systems for assisted network browsing
US20090119151A1 (en) * 2007-11-01 2009-05-07 Microsoft Corporation Online Advertisement Selection
US20090150340A1 (en) * 2007-12-05 2009-06-11 Motorola, Inc. Method and apparatus for content item recommendation
US20090158320A1 (en) * 2007-12-13 2009-06-18 Steve Riedl System and method for selecting and delivering ads based on cross-platform activity
US20090158341A1 (en) * 2007-12-17 2009-06-18 Kerry Philip Miller Electronic program guide generation apparatus, systems, and methods
US20090178091A1 (en) * 2008-01-08 2009-07-09 Hiroki Miyamoto Contents distribution method and receiving device
US20090198551A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for selecting personalized non-competitive electronic advertising for electronic display
US20090198554A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for identifying users for which non-competitive advertisements is relevant
US20090198555A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for providing cooperative electronic advertising
US20090198553A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for generating a user model for use in providing personalized advertisements to retail customers
US20090198552A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for identifying users for which cooperative electronic advertising is relevant
US20090199233A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for generating a selection model for use in personalized non-competitive advertising
US20090198556A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for selecting personalized non-competitive electronic advertising
US20090222392A1 (en) * 2006-02-10 2009-09-03 Strands, Inc. Dymanic interactive entertainment
US20090234828A1 (en) * 2008-03-11 2009-09-17 Pei-Hsuan Tu Method for displaying search results in a browser interface
US20090248607A1 (en) * 2008-03-31 2009-10-01 Sony Corporation Method to determine a subgroup of users
US20090259518A1 (en) * 2008-04-14 2009-10-15 Tra, Inc. Analyzing return on investment of advertising campaigns using cross-correlation of multiple data sources
US20090276368A1 (en) * 2008-04-28 2009-11-05 Strands, Inc. Systems and methods for providing personalized recommendations of products and services based on explicit and implicit user data and feedback
EP2115617A1 (en) * 2007-01-30 2009-11-11 Sony Corporation System and method for effectively providing content to client devices in an electronic network
US20090300672A1 (en) * 2006-05-15 2009-12-03 Joost N.V. Method of Associating Program Content Data in a Digital Television Network
US20090300008A1 (en) * 2008-05-31 2009-12-03 Strands, Inc. Adaptive recommender technology
US20090328122A1 (en) * 2008-06-25 2009-12-31 At&T Corp. Method and apparatus for presenting media programs
US20100017725A1 (en) * 2008-07-21 2010-01-21 Strands, Inc. Ambient collage display of digital media content
US20100070917A1 (en) * 2008-09-08 2010-03-18 Apple Inc. System and method for playlist generation based on similarity data
US20100083191A1 (en) * 2008-09-30 2010-04-01 Richard Marshall Method and apparatus for displaying content at a mobile device
US20100100557A1 (en) * 2001-06-20 2010-04-22 Naohisa Kitazato Receiving apparatus and method, information distribution method, filtering and storing program, and recording medium
US20100115060A1 (en) * 2005-01-03 2010-05-06 Luc Julia System and method for delivering content to users on a network
US20100125868A1 (en) * 2008-11-17 2010-05-20 At&T Intellectual Property I, L.P. System and Method for Content Delivery
US20100161595A1 (en) * 2005-02-03 2010-06-24 Strands, Inc. Recommender system for identifying a new set of media items responsive to an input set of media items and knowledge base metrics
US20100161492A1 (en) * 2008-04-14 2010-06-24 Tra, Inc. Analyzing return on investment of advertising campaigns using cross-correlation of multiple data sources
US20100169328A1 (en) * 2008-12-31 2010-07-01 Strands, Inc. Systems and methods for making recommendations using model-based collaborative filtering with user communities and items collections
US20100198818A1 (en) * 2005-02-01 2010-08-05 Strands, Inc. Dynamic identification of a new set of media items responsive to an input mediaset
US20100198732A1 (en) * 2006-11-27 2010-08-05 Creative Technology Ltd. Communication system, a media player used in the system and a method thereof
US20100228679A1 (en) * 2001-05-15 2010-09-09 Altair Engineering, Inc. Hardware Unit-Based License Management Method
US20100226288A1 (en) * 2009-03-04 2010-09-09 At&T Intellectual Property I, Lp. Method and apparatus for group media consumption
US20100268680A1 (en) * 2006-02-10 2010-10-21 Strands, Inc. Systems and methods for prioritizing mobile media player files
US20100332558A1 (en) * 2005-05-03 2010-12-30 Comcast Cable Communications, Llc Verification of Semantic Constraints in Multimedia Data and in its Announcement, Signaling and Interchange
US20110072462A1 (en) * 2009-09-23 2011-03-24 At&T Intellectual Property I, L.P. System and Method to Modify an Electronic Program Guide
US7916631B2 (en) 2000-11-28 2011-03-29 Microsoft Corporation Load balancing in set top cable box environment
US20110074816A1 (en) * 2002-08-30 2011-03-31 Rovi Technologies Corporation Systems and methods for integrating graphic animation technologies in fantasy sports contest applications
US20110093909A1 (en) * 2009-10-15 2011-04-21 At&T Intellectual Property I, L.P. Apparatus and method for transmitting media content
US20110106718A1 (en) * 2009-11-05 2011-05-05 At&T Intellectual Property I, L.P. Apparatus and method for managing a social network
US20110106612A1 (en) * 2009-10-30 2011-05-05 At&T Intellectual Property L.L.P. Apparatus and method for product marketing
US20110109648A1 (en) * 2009-11-06 2011-05-12 At&T Intellectual Property I, L.P. Apparatus and method for managing marketing
US20110112665A1 (en) * 2009-11-10 2011-05-12 At&T Intellectual Property I, L.P. Method and apparatus for presenting media programs
US20110113440A1 (en) * 2009-11-10 2011-05-12 At&T Intellectual Property I.L.P. Apparatus and method for transmitting media content
US20110119725A1 (en) * 2009-11-13 2011-05-19 At&T Intellectual Property I, L.P. Method and apparatus for presenting media programs
US20110122220A1 (en) * 2009-11-20 2011-05-26 At&T Intellectual Property I, L.P. Apparatus and method for collaborative network in an enterprise setting
US20110126252A1 (en) * 2009-11-20 2011-05-26 At&T Intellectual Property I, L.P. Method and apparatus for presenting media programs
US20110126253A1 (en) * 2009-11-20 2011-05-26 At&T Intellectual Property I, L.P. Apparatus and method for managing a social network
US20110138326A1 (en) * 2009-12-04 2011-06-09 At&T Intellectual Property I, L.P. Apparatus and Method for Tagging Media Content and Managing Marketing
US20110153396A1 (en) * 2009-12-22 2011-06-23 Andrew Marcuvitz Method and system for processing on-line transactions involving a content owner, an advertiser, and a targeted consumer
US20110166939A1 (en) * 2002-08-30 2011-07-07 Rovi Technologies Corporation Systems and methods for integrating data mining and other marketing techniques with fantasy sports contest applications
US20110196865A1 (en) * 2007-03-31 2011-08-11 Sony Deutschland Gmbh Method for content recommendation
US8055536B1 (en) 2007-03-21 2011-11-08 Qurio Holdings, Inc. Automated real-time secure user data sourcing
US8073866B2 (en) 2005-03-17 2011-12-06 Claria Innovations, Llc Method for providing content to an internet user based on the user's demonstrated content preferences
US8078602B2 (en) 2004-12-17 2011-12-13 Claria Innovations, Llc Search engine for a computer network
US8086697B2 (en) 2005-06-28 2011-12-27 Claria Innovations, Llc Techniques for displaying impressions in documents delivered over a computer network
US8086690B1 (en) * 2003-09-22 2011-12-27 Google Inc. Determining geographical relevance of web documents
US20120005027A1 (en) * 2000-06-12 2012-01-05 Sony Corporation Image Content and Advertisement Data Providing Method, System, and Apparatus
US8108245B1 (en) 1999-09-17 2012-01-31 Cox Communications, Inc. Method and system for web user profiling and selective content delivery
US8170912B2 (en) 2003-11-25 2012-05-01 Carhamm Ltd., Llc Database structure and front end
US8255413B2 (en) 2004-08-19 2012-08-28 Carhamm Ltd., Llc Method and apparatus for responding to request for information-personalization
US20120222060A1 (en) * 2007-09-14 2012-08-30 At&T Intellectual Property I, Lp Apparatus and method for managing media content
US8275623B2 (en) 2009-03-06 2012-09-25 At&T Intellectual Property I, L.P. Method and apparatus for analyzing discussion regarding media programs
US8316003B2 (en) 2002-11-05 2012-11-20 Carhamm Ltd., Llc Updating content of presentation vehicle in a computer network
US8332406B2 (en) 2008-10-02 2012-12-11 Apple Inc. Real-time visualization of user consumption of media items
US20130007801A1 (en) * 2011-07-01 2013-01-03 Teliasonera Ab Personalized advertising
US20130010209A1 (en) * 2010-03-26 2013-01-10 Sharp Kabushiki Kaisha Display apparatus, control apparatus, television receiver, method of controlling display apparatus, program, and recording medium
WO2013012679A1 (en) * 2011-07-20 2013-01-24 Resonate Networks, Inc Method and apparatus for delivering targeted content to television viewers
US20130080907A1 (en) * 2011-09-23 2013-03-28 Richard Skelton Method and system for a personalized content play list
US8413205B2 (en) 2001-09-19 2013-04-02 Tvworks, Llc System and method for construction, delivery and display of iTV content
US8416952B1 (en) 2003-07-11 2013-04-09 Tvworks, Llc Channel family surf control
US20130125157A1 (en) * 2009-09-26 2013-05-16 Disternet Technology, Inc. Method of collecting usage information
US8448208B2 (en) 2003-03-14 2013-05-21 Tvworks, Llc System and method for construction, delivery and display of iTV applications that blend programming information of on-demand and broadcast service offerings
CN103125121A (en) * 2010-09-23 2013-05-29 英特尔公司 Validation of TV viewership utlizing methods, systems and computer control logic
US8463772B1 (en) 2010-05-13 2013-06-11 Google Inc. Varied-importance proximity values
US8477786B2 (en) 2003-05-06 2013-07-02 Apple Inc. Messaging system and service
US8509929B1 (en) 2002-08-30 2013-08-13 Rovi Technologies Corporation Systems and methods for roster management in fantasy sports contest applications
US8521611B2 (en) 2006-03-06 2013-08-27 Apple Inc. Article trading among members of a community
US20130276013A1 (en) * 2011-09-12 2013-10-17 Wenlong Li Using Multimedia Search to Identify what Viewers are Watching on Television
US8578411B1 (en) 2003-03-14 2013-11-05 Tvworks, Llc System and method for controlling iTV application behaviors through the use of application profile filters
US8620919B2 (en) 2009-09-08 2013-12-31 Apple Inc. Media item clustering based on similarity data
US8620952B2 (en) 2007-01-03 2013-12-31 Carhamm Ltd., Llc System for database reporting
US8645941B2 (en) 2005-03-07 2014-02-04 Carhamm Ltd., Llc Method for attributing and allocating revenue related to embedded software
US8662997B1 (en) 2009-09-30 2014-03-04 Amazon Technologies, Inc. Systems and methods for in-game provisioning of content
US8671000B2 (en) 2007-04-24 2014-03-11 Apple Inc. Method and arrangement for providing content to multimedia devices
US20140075474A1 (en) * 2002-06-12 2014-03-13 Tvworks, Llc Graphically rich, modular, promotional tile interface for interactive television
US8689238B2 (en) 2000-05-18 2014-04-01 Carhamm Ltd., Llc Techniques for displaying impressions in documents delivered over a computer network
US8702504B1 (en) 2001-11-05 2014-04-22 Rovi Technologies Corporation Fantasy sports contest highlight segments systems and methods
US8745658B2 (en) 2002-03-15 2014-06-03 Tvworks, Llc System and method for construction, delivery and display of iTV content
US8756103B1 (en) 2007-03-28 2014-06-17 Qurio Holdings, Inc. System and method of implementing alternative redemption options for a consumer-centric advertising system
US8756634B2 (en) 2002-07-11 2014-06-17 Tvworks, Llc Contextual display of information with an interactive user interface for television
US8819728B2 (en) * 2012-05-09 2014-08-26 Bluefin Labs, Inc. Topic to social media identity correlation
US8819734B2 (en) 2003-09-16 2014-08-26 Tvworks, Llc Contextual navigational control for digital television
US20140278308A1 (en) * 2013-03-15 2014-09-18 Yahoo! Inc. Method and system for measuring user engagement using click/skip in content stream
US8850480B2 (en) 2001-09-19 2014-09-30 Tvworks, Llc Interactive user interface for television applications
US20140298386A1 (en) * 2013-03-28 2014-10-02 Tata Consultancy Services Limited Personalized Content Recommendation
US8875196B2 (en) 2005-08-13 2014-10-28 Webtuner Corp. System for network and local content access
US8892495B2 (en) 1991-12-23 2014-11-18 Blanding Hovenweep, Llc Adaptive pattern recognition based controller apparatus and method and human-interface therefore
US20140359647A1 (en) * 2012-12-14 2014-12-04 Biscotti Inc. Monitoring, Trend Estimation, and User Recommendations
US8930412B2 (en) * 2004-06-04 2015-01-06 Callidus Software Inc. Intelligence centers
US8943533B2 (en) 2002-09-19 2015-01-27 Tvworks, Llc System and method for preferred placement programming of iTV content
US8983905B2 (en) 2011-10-03 2015-03-17 Apple Inc. Merging playlists from multiple sources
US9005017B2 (en) * 2009-09-30 2015-04-14 Amazon Technologies, Inc. Tracking game progress using player profiles
US9015778B2 (en) 2008-06-25 2015-04-21 AT&T Intellectual Property I. LP Apparatus and method for media on demand commentaries
US9021543B2 (en) 2011-05-26 2015-04-28 Webtuner Corporation Highly scalable audience measurement system with client event pre-processing
US9088821B2 (en) 2003-02-10 2015-07-21 The Nielsen Company (Us), Llc Methods and apparatus to adaptively select sensor(s) to gather audience measurement data based on a variable system factor and a quantity of data collectible by the sensors
US9112623B2 (en) 2011-06-06 2015-08-18 Comcast Cable Communications, Llc Asynchronous interaction at specific points in content
US20150304713A1 (en) * 2014-04-22 2015-10-22 clypd, inc. Demand Target Detection
US9202332B2 (en) 2013-01-14 2015-12-01 Hotbox Sports Llc Online fantasy sports game system and method
US9253520B2 (en) 2012-12-14 2016-02-02 Biscotti Inc. Video capture, processing and distribution system
US9256884B2 (en) 2011-05-24 2016-02-09 Webtuner Corp System and method to increase efficiency and speed of analytics report generation in audience measurement systems
US9282366B2 (en) 2012-08-13 2016-03-08 The Nielsen Company (Us), Llc Methods and apparatus to communicate audience measurement information
US20160080790A1 (en) * 2008-06-02 2016-03-17 Intent IQ, LLC Targeted advertisements selected on the basis of an online user profile and presented with media presentations related to that profile
US9300910B2 (en) 2012-12-14 2016-03-29 Biscotti Inc. Video mail capture, processing and distribution
US9311192B2 (en) * 2007-10-31 2016-04-12 At&T Intellectual Property I, L.P. Methods, systems, and products for data backup
US9386349B2 (en) 2012-09-27 2016-07-05 Canoe Ventures, Llc Asset conflict resolution for content on demand asset insertion
US9398340B2 (en) * 2012-09-27 2016-07-19 Canoe Ventures, Llc Asset qualification for content on demand insertion
US20160316268A1 (en) * 2015-04-23 2016-10-27 Rovi Guides, Inc. Systems and methods for improving accuracy in media asset recommendation models
US9485459B2 (en) 2012-12-14 2016-11-01 Biscotti Inc. Virtual window
US9495446B2 (en) 2004-12-20 2016-11-15 Gula Consulting Limited Liability Company Method and device for publishing cross-network user behavioral data
US9535563B2 (en) 1999-02-01 2017-01-03 Blanding Hovenweep, Llc Internet appliance system and method
US9553927B2 (en) 2013-03-13 2017-01-24 Comcast Cable Communications, Llc Synchronizing multiple transmissions of content
US9615136B1 (en) * 2013-05-03 2017-04-04 Amazon Technologies, Inc. Video classification
US9621955B2 (en) * 2014-12-31 2017-04-11 Google Inc. Identifying media channels that have a high likelihood of multiple consumptions by one or more users
US9628860B2 (en) * 2014-10-10 2017-04-18 Anhui Huami Information Technology Co., Ltd. Video pushing method, apparatus, and system
US9635405B2 (en) 2011-05-17 2017-04-25 Webtuner Corp. System and method for scalable, high accuracy, sensor and ID based audience measurement system based on distributed computing architecture
US9633182B2 (en) 2001-05-15 2017-04-25 Altair Engineering, Inc. Token based digital content licensing method
US9654563B2 (en) 2012-12-14 2017-05-16 Biscotti Inc. Virtual remote functionality
US9699499B2 (en) 2014-04-30 2017-07-04 The Nielsen Company (Us), Llc Methods and apparatus to measure exposure to streaming media
US9800917B2 (en) 2008-06-02 2017-10-24 Intent IQ, LLC Targeted television advertisements associated with online users' preferred television programs or channels
US9813778B2 (en) 2007-04-17 2017-11-07 Intent IQ, LLC Targeted television advertisements based on online behavior
US9855503B2 (en) 2010-03-01 2018-01-02 Rishi Nangia System and method for providing secondary gaming
US9872075B2 (en) 2012-09-27 2018-01-16 Canoe Ventures Asset scoring and ranking for content on demand insertion
US9883208B2 (en) 2012-09-27 2018-01-30 Canoe Ventures Llc Data synchronization for content on demand asset insertion decisions

Families Citing this family (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7979880B2 (en) 2000-04-21 2011-07-12 Cox Communications, Inc. Method and system for profiling iTV users and for providing selective content delivery
WO2004077784A1 (en) * 2003-02-27 2004-09-10 Telecom Italia S.P.A. Method and system for providing information services to a client using a user profile
US8464290B2 (en) 2003-08-01 2013-06-11 Tacoda, Inc. Network for matching an audience with deliverable content
US9118812B2 (en) 2003-08-01 2015-08-25 Advertising.Com Llc Audience server
US7805332B2 (en) * 2003-08-01 2010-09-28 AOL, Inc. System and method for segmenting and targeting audience members
US9117217B2 (en) * 2003-08-01 2015-08-25 Advertising.Com Llc Audience targeting with universal profile synchronization
CN100507894C (en) 2003-08-01 2009-07-01 塔科达有限公司 System and method for segmenting and targeting audience members
US8150732B2 (en) 2003-08-01 2012-04-03 Tacoda Llc Audience targeting system with segment management
US9357179B2 (en) * 2006-04-24 2016-05-31 Visible World, Inc. Systems and methods for generating media content using microtrends
WO2008022328A3 (en) 2006-08-18 2008-11-20 Sony Corp Selective media access through a recommendation engine
US7797722B2 (en) * 2006-05-26 2010-09-14 Sony Corporation System and method for content delivery
KR101382393B1 (en) * 2007-01-16 2014-04-09 삼성전자주식회사 Sever and simultaneous connection control method thereof
US8756101B2 (en) 2008-01-25 2014-06-17 Tunein, Inc. User and stream demographics metadata guide based content services
US8595373B2 (en) 2008-01-25 2013-11-26 Tuneln, Inc. Guide based content services
FR2934398B1 (en) * 2008-07-25 2010-09-10 Ferline Tiard Method for management and distribution of promotional messages to a user in a multimedia system
US8490136B2 (en) * 2009-05-07 2013-07-16 Sirius Xm Radio Inc. Method and apparatus for providing enhanced electronic program guide with personalized selection of broadcast content using affinities data and user preferences
EP2252050B1 (en) * 2009-05-13 2014-06-25 Sony Europe Limited A method of recommending local and remote content
WO2011074450A1 (en) * 2009-12-17 2011-06-23 シャープ株式会社 Broadcast information display device, broadcast information display method, program, and recording medium
US8453179B2 (en) * 2010-02-11 2013-05-28 Intel Corporation Linking real time media context to related applications and services
US8719581B2 (en) 2010-09-22 2014-05-06 Savant Systems, Llc Programmable multimedia controller with flexible user access and shared device configurations
KR20130138597A (en) * 2012-06-11 2013-12-19 에스케이플래닛 주식회사 System for data common service, apparatus and method for data common service
KR101751708B1 (en) * 2012-08-17 2017-07-11 한국전자통신연구원 Method and system for audience rating and advertisement effects based on viewing behavior recognition
US9396179B2 (en) * 2012-08-30 2016-07-19 Xerox Corporation Methods and systems for acquiring user related information using natural language processing techniques
EP2986011A1 (en) 2014-08-11 2016-02-17 OpenTV, Inc. Method and system to create interactivity between a main reception device and at least one secondary device

Citations (80)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US641311A (en) * 1899-03-08 1900-01-16 James Maclean Labeling-machine.
US5026368A (en) * 1988-12-28 1991-06-25 Adair Edwin Lloyd Method for cervical videoscopy
US5223924A (en) * 1992-05-27 1993-06-29 North American Philips Corporation System and method for automatically correlating user preferences with a T.V. program information database
US5347632A (en) * 1988-07-15 1994-09-13 Prodigy Services Company Reception system for an interactive computer network and method of operation
US5572643A (en) * 1995-10-19 1996-11-05 Judson; David H. Web browser with dynamic display of information objects during linking
US5592551A (en) * 1992-12-01 1997-01-07 Scientific-Atlanta, Inc. Method and apparatus for providing interactive electronic programming guide
US5659350A (en) * 1992-12-09 1997-08-19 Discovery Communications, Inc. Operations center for a television program packaging and delivery system
US5710884A (en) * 1995-03-29 1998-01-20 Intel Corporation System for automatically updating personal profile server with updates to additional user information gathered from monitoring user's electronic consuming habits generated on computer during use
US5740549A (en) * 1995-06-12 1998-04-14 Pointcast, Inc. Information and advertising distribution system and method
US5740252A (en) * 1995-10-13 1998-04-14 C/Net, Inc. Apparatus and method for passing private demographic information between hyperlink destinations
US5754774A (en) * 1996-02-15 1998-05-19 International Business Machine Corp. Client/server communication system
US5761662A (en) * 1994-12-20 1998-06-02 Sun Microsystems, Inc. Personalized information retrieval using user-defined profile
US5794210A (en) * 1995-12-11 1998-08-11 Cybergold, Inc. Attention brokerage
US5798785A (en) * 1992-12-09 1998-08-25 Discovery Communications, Inc. Terminal for suggesting programs offered on a television program delivery system
US5801747A (en) * 1996-11-15 1998-09-01 Hyundai Electronics America Method and apparatus for creating a television viewer profile
US5812784A (en) * 1995-01-19 1998-09-22 Microsoft Corporation Method and apparatus for supporting multiple, simultaneous services over multiple, simultaneous connections between a client and network server
US5848397A (en) * 1996-04-19 1998-12-08 Juno Online Services, L.P. Method and apparatus for scheduling the presentation of messages to computer users
US5848396A (en) * 1996-04-26 1998-12-08 Freedom Of Information, Inc. Method and apparatus for determining behavioral profile of a computer user
US5913040A (en) * 1995-08-22 1999-06-15 Backweb Ltd. Method and apparatus for transmitting and displaying information between a remote network and a local computer
US5946646A (en) * 1994-03-23 1999-08-31 Digital Broadband Applications Corp. Interactive advertising system and device
US5945988A (en) * 1996-06-06 1999-08-31 Intel Corporation Method and apparatus for automatically determining and dynamically updating user preferences in an entertainment system
US5948061A (en) * 1996-10-29 1999-09-07 Double Click, Inc. Method of delivery, targeting, and measuring advertising over networks
US5959623A (en) * 1995-12-08 1999-09-28 Sun Microsystems, Inc. System and method for displaying user selected set of advertisements
US5966695A (en) * 1995-10-17 1999-10-12 Citibank, N.A. Sales and marketing support system using a graphical query prospect database
US5974398A (en) * 1997-04-11 1999-10-26 At&T Corp. Method and apparatus enabling valuation of user access of advertising carried by interactive information and entertainment services
US6005597A (en) * 1997-10-27 1999-12-21 Disney Enterprises, Inc. Method and apparatus for program selection
US6012051A (en) * 1997-02-06 2000-01-04 America Online, Inc. Consumer profiling system with analytic decision processor
US6014638A (en) * 1996-05-29 2000-01-11 America Online, Inc. System for customizing computer displays in accordance with user preferences
US6014654A (en) * 1996-03-29 2000-01-11 Nec Corporation Information filtering apparatus for filtering information for interests of users and a method therefor
US6018372A (en) * 1997-09-04 2000-01-25 Liberate Technologies Electronic program guide with multiple day planner
US6049777A (en) * 1995-06-30 2000-04-11 Microsoft Corporation Computer-implemented collaborative filtering based method for recommending an item to a user
US6064980A (en) * 1998-03-17 2000-05-16 Amazon.Com, Inc. System and methods for collaborative recommendations
US6078866A (en) * 1998-09-14 2000-06-20 Searchup, Inc. Internet site searching and listing service based on monetary ranking of site listings
US6088722A (en) * 1994-11-29 2000-07-11 Herz; Frederick System and method for scheduling broadcast of and access to video programs and other data using customer profiles
US6092049A (en) * 1995-06-30 2000-07-18 Microsoft Corporation Method and apparatus for efficiently recommending items using automated collaborative filtering and feature-guided automated collaborative filtering
US6112192A (en) * 1997-05-09 2000-08-29 International Business Machines Corp. Method for providing individually customized content in a network
US6119101A (en) * 1996-01-17 2000-09-12 Personal Agents, Inc. Intelligent agents for electronic commerce
US6134532A (en) * 1997-11-14 2000-10-17 Aptex Software, Inc. System and method for optimal adaptive matching of users to most relevant entity and information in real-time
US6144944A (en) * 1997-04-24 2000-11-07 Imgis, Inc. Computer system for efficiently selecting and providing information
US6157946A (en) * 1996-02-28 2000-12-05 Netzero Inc. Communication system capable of providing user with picture meeting characteristics of user and terminal equipment and information providing device used for the same
US6163316A (en) * 1997-01-03 2000-12-19 Texas Instruments Incorporated Electronic programming system and method
US6177931B1 (en) * 1996-12-19 2001-01-23 Index Systems, Inc. Systems and methods for displaying and recording control interface with television programs, video, advertising information and program scheduling information
US6208975B1 (en) * 1996-04-01 2001-03-27 Sabre Inc. Information aggregation and synthesization system
US6236978B1 (en) * 1997-11-14 2001-05-22 New York University System and method for dynamic profiling of users in one-to-one applications
US6236975B1 (en) * 1998-09-29 2001-05-22 Ignite Sales, Inc. System and method for profiling customers for targeted marketing
US6243760B1 (en) * 1997-06-24 2001-06-05 Vistar Telecommunications Inc. Information dissemination system with central and distributed caches
US20010011264A1 (en) * 1998-08-04 2001-08-02 Charles Kawasaki Method and system for creating and using a computer user's personal interest profile
US6285983B1 (en) * 1998-10-21 2001-09-04 Lend Lease Corporation Ltd. Marketing systems and methods that preserve consumer privacy
US6285987B1 (en) * 1997-01-22 2001-09-04 Engage, Inc. Internet advertising system
US6295061B1 (en) * 1999-02-12 2001-09-25 Dbm Korea Computer system and method for dynamic information display
US6298348B1 (en) * 1998-12-03 2001-10-02 Expanse Networks, Inc. Consumer profiling system
US6305017B1 (en) * 1997-05-22 2001-10-16 United Video Properties, Inc. Interactive television program guide with selectable non-program options
US6311211B1 (en) * 1996-04-19 2001-10-30 Juno Online Services, Inc. Method and apparatus for delivering electronic advocacy messages
US6327574B1 (en) * 1998-07-07 2001-12-04 Encirq Corporation Hierarchical models of consumer attributes for targeting content in a privacy-preserving manner
US6334110B1 (en) * 1999-03-10 2001-12-25 Ncr Corporation System and method for analyzing customer transactions and interactions
US20010056370A1 (en) * 2000-02-10 2001-12-27 Sivan Tafla Method and system for presenting an animated advertisement on a web page
US20020004744A1 (en) * 1997-09-11 2002-01-10 Muyres Matthew R. Micro-target for broadband content
US20020013729A1 (en) * 2000-07-31 2002-01-31 Nec Corporation. Advertisement presentation system
US6366298B1 (en) * 1999-06-03 2002-04-02 Netzero, Inc. Monitoring of individual internet usage
US6385590B1 (en) * 2000-11-22 2002-05-07 Philip Levine Method and system for determining the effectiveness of a stimulus
US6427063B1 (en) * 1997-05-22 2002-07-30 Finali Corporation Agent based instruction system and method
US6449632B1 (en) * 1999-04-01 2002-09-10 Bar Ilan University Nds Limited Apparatus and method for agent-based feedback collection in a data broadcasting network
US20020129368A1 (en) * 2001-01-11 2002-09-12 Schlack John A. Profiling and identification of television viewers
US6460036B1 (en) * 1994-11-29 2002-10-01 Pinpoint Incorporated System and method for providing customized electronic newspapers and target advertisements
US6708335B1 (en) * 1999-08-18 2004-03-16 Webtv Networks, Inc. Tracking viewing behavior of advertisements on a home entertainment system
US6757691B1 (en) * 1999-11-09 2004-06-29 America Online, Inc. Predicting content choices by searching a profile database
US6766525B1 (en) * 2000-02-08 2004-07-20 Koninklijke Philips Electronics N.V. Method and apparatus for evaluating television program recommenders
US6769009B1 (en) * 1994-05-31 2004-07-27 Richard R. Reisman Method and system for selecting a personalized set of information channels
US6845102B1 (en) * 1997-10-09 2005-01-18 Cisco Technology, Inc. Method and system for network access over a low bandwidth link
US20050028208A1 (en) * 1998-07-17 2005-02-03 United Video Properties, Inc. Interactive television program guide with remote access
US6882990B1 (en) * 1999-05-01 2005-04-19 Biowulf Technologies, Llc Methods of identifying biological patterns using multiple data sets
US6882977B1 (en) * 2000-07-31 2005-04-19 Hewlett-Packard Development Company, L.P. Method and facility for displaying customer activity and value
US6889218B1 (en) * 1999-05-17 2005-05-03 International Business Machines Corporation Anomaly detection method
US6898762B2 (en) * 1998-08-21 2005-05-24 United Video Properties, Inc. Client-server electronic program guide
US7003792B1 (en) * 1998-11-30 2006-02-21 Index Systems, Inc. Smart agent based on habit, statistical inference and psycho-demographic profiling
US7013478B1 (en) * 1992-12-09 2006-03-14 Sedna Patent Services, Llc Method and apparatus for interactive program suggestion
US7020643B2 (en) * 2002-01-25 2006-03-28 Microsoft Corporation Method and system for clickpath funnel analysis
US7092926B2 (en) * 2001-04-06 2006-08-15 Sedna Patent Services, Llc Method and apparatus for identifying unique client users from user behavioral data
US20070011039A1 (en) * 2003-03-25 2007-01-11 Oddo Anthony S Generating audience analytics
US7328216B2 (en) * 2000-07-26 2008-02-05 Recommind Inc. System and method for personalized search, information filtering, and for generating recommendations utilizing statistical latent class models

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6041311A (en) 1995-06-30 2000-03-21 Microsoft Corporation Method and apparatus for item recommendation using automated collaborative filtering
US6026368A (en) 1995-07-17 2000-02-15 24/7 Media, Inc. On-line interactive system and method for providing content and advertising information to a targeted set of viewers
ES2397354T3 (en) 1999-02-17 2013-03-06 Index Systems, Inc. System and method for adapting characteristics of television and / or electronic programming guide, such as advertising
EP1135742A4 (en) 1998-12-03 2002-07-24 Telecom Partners Ltd Subscriber identification system
US7979880B2 (en) 2000-04-21 2011-07-12 Cox Communications, Inc. Method and system for profiling iTV users and for providing selective content delivery
US8108245B1 (en) 1999-09-17 2012-01-31 Cox Communications, Inc. Method and system for web user profiling and selective content delivery
WO2001065453A1 (en) 2000-02-29 2001-09-07 Expanse Networks, Inc. Privacy-protected targeting system

Patent Citations (81)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US641311A (en) * 1899-03-08 1900-01-16 James Maclean Labeling-machine.
US5347632A (en) * 1988-07-15 1994-09-13 Prodigy Services Company Reception system for an interactive computer network and method of operation
US5026368A (en) * 1988-12-28 1991-06-25 Adair Edwin Lloyd Method for cervical videoscopy
US5223924A (en) * 1992-05-27 1993-06-29 North American Philips Corporation System and method for automatically correlating user preferences with a T.V. program information database
US5592551A (en) * 1992-12-01 1997-01-07 Scientific-Atlanta, Inc. Method and apparatus for providing interactive electronic programming guide
US5798785A (en) * 1992-12-09 1998-08-25 Discovery Communications, Inc. Terminal for suggesting programs offered on a television program delivery system
US5659350A (en) * 1992-12-09 1997-08-19 Discovery Communications, Inc. Operations center for a television program packaging and delivery system
US7013478B1 (en) * 1992-12-09 2006-03-14 Sedna Patent Services, Llc Method and apparatus for interactive program suggestion
US5946646A (en) * 1994-03-23 1999-08-31 Digital Broadband Applications Corp. Interactive advertising system and device
US6769009B1 (en) * 1994-05-31 2004-07-27 Richard R. Reisman Method and system for selecting a personalized set of information channels
US6088722A (en) * 1994-11-29 2000-07-11 Herz; Frederick System and method for scheduling broadcast of and access to video programs and other data using customer profiles
US6460036B1 (en) * 1994-11-29 2002-10-01 Pinpoint Incorporated System and method for providing customized electronic newspapers and target advertisements
US5761662A (en) * 1994-12-20 1998-06-02 Sun Microsystems, Inc. Personalized information retrieval using user-defined profile
US5812784A (en) * 1995-01-19 1998-09-22 Microsoft Corporation Method and apparatus for supporting multiple, simultaneous services over multiple, simultaneous connections between a client and network server
US5710884A (en) * 1995-03-29 1998-01-20 Intel Corporation System for automatically updating personal profile server with updates to additional user information gathered from monitoring user's electronic consuming habits generated on computer during use
US5740549A (en) * 1995-06-12 1998-04-14 Pointcast, Inc. Information and advertising distribution system and method
US6092049A (en) * 1995-06-30 2000-07-18 Microsoft Corporation Method and apparatus for efficiently recommending items using automated collaborative filtering and feature-guided automated collaborative filtering
US6049777A (en) * 1995-06-30 2000-04-11 Microsoft Corporation Computer-implemented collaborative filtering based method for recommending an item to a user
US5913040A (en) * 1995-08-22 1999-06-15 Backweb Ltd. Method and apparatus for transmitting and displaying information between a remote network and a local computer
US5740252A (en) * 1995-10-13 1998-04-14 C/Net, Inc. Apparatus and method for passing private demographic information between hyperlink destinations
US5966695A (en) * 1995-10-17 1999-10-12 Citibank, N.A. Sales and marketing support system using a graphical query prospect database
US5572643A (en) * 1995-10-19 1996-11-05 Judson; David H. Web browser with dynamic display of information objects during linking
US5959623A (en) * 1995-12-08 1999-09-28 Sun Microsystems, Inc. System and method for displaying user selected set of advertisements
US5794210A (en) * 1995-12-11 1998-08-11 Cybergold, Inc. Attention brokerage
US6119101A (en) * 1996-01-17 2000-09-12 Personal Agents, Inc. Intelligent agents for electronic commerce
US5754774A (en) * 1996-02-15 1998-05-19 International Business Machine Corp. Client/server communication system
US6157946A (en) * 1996-02-28 2000-12-05 Netzero Inc. Communication system capable of providing user with picture meeting characteristics of user and terminal equipment and information providing device used for the same
US6014654A (en) * 1996-03-29 2000-01-11 Nec Corporation Information filtering apparatus for filtering information for interests of users and a method therefor
US6208975B1 (en) * 1996-04-01 2001-03-27 Sabre Inc. Information aggregation and synthesization system
US5848397A (en) * 1996-04-19 1998-12-08 Juno Online Services, L.P. Method and apparatus for scheduling the presentation of messages to computer users
US6311211B1 (en) * 1996-04-19 2001-10-30 Juno Online Services, Inc. Method and apparatus for delivering electronic advocacy messages
US5848396A (en) * 1996-04-26 1998-12-08 Freedom Of Information, Inc. Method and apparatus for determining behavioral profile of a computer user
US6014638A (en) * 1996-05-29 2000-01-11 America Online, Inc. System for customizing computer displays in accordance with user preferences
US5945988A (en) * 1996-06-06 1999-08-31 Intel Corporation Method and apparatus for automatically determining and dynamically updating user preferences in an entertainment system
US5948061A (en) * 1996-10-29 1999-09-07 Double Click, Inc. Method of delivery, targeting, and measuring advertising over networks
US5801747A (en) * 1996-11-15 1998-09-01 Hyundai Electronics America Method and apparatus for creating a television viewer profile
US6177931B1 (en) * 1996-12-19 2001-01-23 Index Systems, Inc. Systems and methods for displaying and recording control interface with television programs, video, advertising information and program scheduling information
US6163316A (en) * 1997-01-03 2000-12-19 Texas Instruments Incorporated Electronic programming system and method
US6285987B1 (en) * 1997-01-22 2001-09-04 Engage, Inc. Internet advertising system
US6012051A (en) * 1997-02-06 2000-01-04 America Online, Inc. Consumer profiling system with analytic decision processor
US5974398A (en) * 1997-04-11 1999-10-26 At&T Corp. Method and apparatus enabling valuation of user access of advertising carried by interactive information and entertainment services
US6144944A (en) * 1997-04-24 2000-11-07 Imgis, Inc. Computer system for efficiently selecting and providing information
US6112192A (en) * 1997-05-09 2000-08-29 International Business Machines Corp. Method for providing individually customized content in a network
US6305017B1 (en) * 1997-05-22 2001-10-16 United Video Properties, Inc. Interactive television program guide with selectable non-program options
US6427063B1 (en) * 1997-05-22 2002-07-30 Finali Corporation Agent based instruction system and method
US6243760B1 (en) * 1997-06-24 2001-06-05 Vistar Telecommunications Inc. Information dissemination system with central and distributed caches
US6018372A (en) * 1997-09-04 2000-01-25 Liberate Technologies Electronic program guide with multiple day planner
US20020004744A1 (en) * 1997-09-11 2002-01-10 Muyres Matthew R. Micro-target for broadband content
US6845102B1 (en) * 1997-10-09 2005-01-18 Cisco Technology, Inc. Method and system for network access over a low bandwidth link
US6005597A (en) * 1997-10-27 1999-12-21 Disney Enterprises, Inc. Method and apparatus for program selection
US6134532A (en) * 1997-11-14 2000-10-17 Aptex Software, Inc. System and method for optimal adaptive matching of users to most relevant entity and information in real-time
US6236978B1 (en) * 1997-11-14 2001-05-22 New York University System and method for dynamic profiling of users in one-to-one applications
US6064980A (en) * 1998-03-17 2000-05-16 Amazon.Com, Inc. System and methods for collaborative recommendations
US6327574B1 (en) * 1998-07-07 2001-12-04 Encirq Corporation Hierarchical models of consumer attributes for targeting content in a privacy-preserving manner
US20050028208A1 (en) * 1998-07-17 2005-02-03 United Video Properties, Inc. Interactive television program guide with remote access
US20010011264A1 (en) * 1998-08-04 2001-08-02 Charles Kawasaki Method and system for creating and using a computer user's personal interest profile
US6898762B2 (en) * 1998-08-21 2005-05-24 United Video Properties, Inc. Client-server electronic program guide
US6078866A (en) * 1998-09-14 2000-06-20 Searchup, Inc. Internet site searching and listing service based on monetary ranking of site listings
US6236975B1 (en) * 1998-09-29 2001-05-22 Ignite Sales, Inc. System and method for profiling customers for targeted marketing
US6285983B1 (en) * 1998-10-21 2001-09-04 Lend Lease Corporation Ltd. Marketing systems and methods that preserve consumer privacy
US7003792B1 (en) * 1998-11-30 2006-02-21 Index Systems, Inc. Smart agent based on habit, statistical inference and psycho-demographic profiling
US6298348B1 (en) * 1998-12-03 2001-10-02 Expanse Networks, Inc. Consumer profiling system
US6295061B1 (en) * 1999-02-12 2001-09-25 Dbm Korea Computer system and method for dynamic information display
US6334110B1 (en) * 1999-03-10 2001-12-25 Ncr Corporation System and method for analyzing customer transactions and interactions
US6449632B1 (en) * 1999-04-01 2002-09-10 Bar Ilan University Nds Limited Apparatus and method for agent-based feedback collection in a data broadcasting network
US6882990B1 (en) * 1999-05-01 2005-04-19 Biowulf Technologies, Llc Methods of identifying biological patterns using multiple data sets
US6889218B1 (en) * 1999-05-17 2005-05-03 International Business Machines Corporation Anomaly detection method
US6366298B1 (en) * 1999-06-03 2002-04-02 Netzero, Inc. Monitoring of individual internet usage
US6708335B1 (en) * 1999-08-18 2004-03-16 Webtv Networks, Inc. Tracking viewing behavior of advertisements on a home entertainment system
US6757691B1 (en) * 1999-11-09 2004-06-29 America Online, Inc. Predicting content choices by searching a profile database
US6766525B1 (en) * 2000-02-08 2004-07-20 Koninklijke Philips Electronics N.V. Method and apparatus for evaluating television program recommenders
US20010056370A1 (en) * 2000-02-10 2001-12-27 Sivan Tafla Method and system for presenting an animated advertisement on a web page
US7328216B2 (en) * 2000-07-26 2008-02-05 Recommind Inc. System and method for personalized search, information filtering, and for generating recommendations utilizing statistical latent class models
US6882977B1 (en) * 2000-07-31 2005-04-19 Hewlett-Packard Development Company, L.P. Method and facility for displaying customer activity and value
US20020013729A1 (en) * 2000-07-31 2002-01-31 Nec Corporation. Advertisement presentation system
US6385590B1 (en) * 2000-11-22 2002-05-07 Philip Levine Method and system for determining the effectiveness of a stimulus
US20020129368A1 (en) * 2001-01-11 2002-09-12 Schlack John A. Profiling and identification of television viewers
US7092926B2 (en) * 2001-04-06 2006-08-15 Sedna Patent Services, Llc Method and apparatus for identifying unique client users from user behavioral data
US7496553B2 (en) * 2001-04-06 2009-02-24 Sedna Patent Services, Llc Method and apparatus for identifying unique client users from user behavioral data
US7020643B2 (en) * 2002-01-25 2006-03-28 Microsoft Corporation Method and system for clickpath funnel analysis
US20070011039A1 (en) * 2003-03-25 2007-01-11 Oddo Anthony S Generating audience analytics

Cited By (358)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8892495B2 (en) 1991-12-23 2014-11-18 Blanding Hovenweep, Llc Adaptive pattern recognition based controller apparatus and method and human-interface therefore
US6637029B1 (en) 1997-07-03 2003-10-21 Nds Limited Intelligent electronic program guide
US20090106787A1 (en) * 1997-07-03 2009-04-23 Nds Limited Intelligent electronic program guide
US20030088872A1 (en) * 1997-07-03 2003-05-08 Nds Limited Advanced television system
US20040049787A1 (en) * 1997-07-03 2004-03-11 Nds Limited Intelligent electronic program guide
US20080212949A1 (en) * 1998-06-29 2008-09-04 Nds Limited Advanced television system
US20070067800A1 (en) * 1998-06-29 2007-03-22 Nds Limited Advanced television system
US8397255B2 (en) 1998-06-29 2013-03-12 Nds Limited Advanced television system
US9535563B2 (en) 1999-02-01 2017-01-03 Blanding Hovenweep, Llc Internet appliance system and method
US8108245B1 (en) 1999-09-17 2012-01-31 Cox Communications, Inc. Method and system for web user profiling and selective content delivery
US8689238B2 (en) 2000-05-18 2014-04-01 Carhamm Ltd., Llc Techniques for displaying impressions in documents delivered over a computer network
US8707353B2 (en) * 2000-06-12 2014-04-22 Sony Corporation Image content and advertisement data providing method, system, and apparatus
US8978061B2 (en) 2000-06-12 2015-03-10 Sony Corporation Image content and advertisement data providing method, system, and apparatus
US9633377B2 (en) 2000-06-12 2017-04-25 Sony Corporation Image content and advertisement data providing method, system, and apparatus
US20120005027A1 (en) * 2000-06-12 2012-01-05 Sony Corporation Image Content and Advertisement Data Providing Method, System, and Apparatus
US7328231B2 (en) 2000-11-28 2008-02-05 Navic Systems Generating schedules for synchronizing bulk data transfers to end node devices in a multimedia network
US20020073419A1 (en) * 2000-11-28 2002-06-13 Navic Systems, Incorporated Using viewership Profiles for targeted promotion deployment
US20020087580A1 (en) * 2000-11-28 2002-07-04 Lacroix John Generating schedules for synchronizing bulk data transfers to end node devices in a multimedia network
US7916631B2 (en) 2000-11-28 2011-03-29 Microsoft Corporation Load balancing in set top cable box environment
US7370073B2 (en) * 2000-11-28 2008-05-06 Navic Systems, Inc. Using viewership profiles for targeted promotion deployment
US20050204276A1 (en) * 2001-02-05 2005-09-15 Predictive Media Corporation Method and system for web page personalization
US8527869B2 (en) * 2001-02-05 2013-09-03 Cox Communications, Inc. Method and system for web page personalization
US20030070167A1 (en) * 2001-04-18 2003-04-10 Alex Holtz Advertisement management method, system, and computer program product
US20100228679A1 (en) * 2001-05-15 2010-09-09 Altair Engineering, Inc. Hardware Unit-Based License Management Method
US9633182B2 (en) 2001-05-15 2017-04-25 Altair Engineering, Inc. Token based digital content licensing method
US9031878B2 (en) * 2001-06-20 2015-05-12 Sony Corporation Receiving apparatus and method, information distribution method, filtering and storing program, and recording medium
US20100100557A1 (en) * 2001-06-20 2010-04-22 Naohisa Kitazato Receiving apparatus and method, information distribution method, filtering and storing program, and recording medium
US20130097650A1 (en) * 2001-06-20 2013-04-18 Sony Corporation Receiving apparatus and method, information distribution method, filtering and storing program, and recording medium
US20030005067A1 (en) * 2001-06-29 2003-01-02 Martin Anthony G. System and method for using continuous messaging units in a network architecture
US7219139B2 (en) * 2001-06-29 2007-05-15 Claria Corporation System and method for using continuous messaging units in a network architecture
US8850480B2 (en) 2001-09-19 2014-09-30 Tvworks, Llc Interactive user interface for television applications
US8413205B2 (en) 2001-09-19 2013-04-02 Tvworks, Llc System and method for construction, delivery and display of iTV content
US9557901B2 (en) 2001-11-05 2017-01-31 Rovi Technologies Corporation Fantasy sports contest highlight segments systems and methods
US8702504B1 (en) 2001-11-05 2014-04-22 Rovi Technologies Corporation Fantasy sports contest highlight segments systems and methods
US20040024753A1 (en) * 2001-11-27 2004-02-05 Chane Lena D. Broadcast database
US20030135858A1 (en) * 2002-01-09 2003-07-17 Hiroyuki Nemoto Vehicle receiver and vehicle-mounted system
US9451196B2 (en) 2002-03-15 2016-09-20 Comcast Cable Communications, Llc System and method for construction, delivery and display of iTV content
US9021528B2 (en) 2002-03-15 2015-04-28 Tvworks, Llc System and method for construction, delivery and display of iTV applications that blend programming information of on-demand and broadcast service offerings
US8745658B2 (en) 2002-03-15 2014-06-03 Tvworks, Llc System and method for construction, delivery and display of iTV content
WO2003090040A2 (en) * 2002-04-22 2003-10-30 General Electric Company Targeting content by predicting group membership
WO2003090040A3 (en) * 2002-04-22 2004-07-01 Gen Electric Targeting content by predicting group membership
US20060059260A1 (en) * 2002-05-21 2006-03-16 Koninklijke Philips Electrics N.V. Recommendation of media content on a media system
US8046787B2 (en) 2002-05-31 2011-10-25 Opentv, Inc. Method and system for the storage, viewing management, and delivery of targeted advertising
US20040025174A1 (en) * 2002-05-31 2004-02-05 Predictive Media Corporation Method and system for the storage, viewing management, and delivery of targeted advertising
US8707354B1 (en) * 2002-06-12 2014-04-22 Tvworks, Llc Graphically rich, modular, promotional tile interface for interactive television
US20140075474A1 (en) * 2002-06-12 2014-03-13 Tvworks, Llc Graphically rich, modular, promotional tile interface for interactive television
US8756634B2 (en) 2002-07-11 2014-06-17 Tvworks, Llc Contextual display of information with an interactive user interface for television
US9197938B2 (en) 2002-07-11 2015-11-24 Tvworks, Llc Contextual display of information with an interactive user interface for television
US8400456B2 (en) 2002-08-30 2013-03-19 Rovi Technologies Corporation Systems and methods for integrating graphic animation technologies in fantasy sports contest applications
US20110166939A1 (en) * 2002-08-30 2011-07-07 Rovi Technologies Corporation Systems and methods for integrating data mining and other marketing techniques with fantasy sports contest applications
US8223154B2 (en) 2002-08-30 2012-07-17 Rovi Technologies Corporation Systems and methods for integrating graphic animation technologies in fantasy sports contest applications
US20110074816A1 (en) * 2002-08-30 2011-03-31 Rovi Technologies Corporation Systems and methods for integrating graphic animation technologies in fantasy sports contest applications
US8509929B1 (en) 2002-08-30 2013-08-13 Rovi Technologies Corporation Systems and methods for roster management in fantasy sports contest applications
US9047734B2 (en) 2002-08-30 2015-06-02 Rovi Technologies Corporation Systems and methods for integrating graphic animation technologies in fantasy sports contest applications
US9358462B2 (en) 2002-08-30 2016-06-07 Rovi Technologies Corporation Systems and methods for roster management in fantasy sports contest applications
US9516253B2 (en) 2002-09-19 2016-12-06 Tvworks, Llc Prioritized placement of content elements for iTV applications
US8943533B2 (en) 2002-09-19 2015-01-27 Tvworks, Llc System and method for preferred placement programming of iTV content
US8316003B2 (en) 2002-11-05 2012-11-20 Carhamm Ltd., Llc Updating content of presentation vehicle in a computer network
US9426508B2 (en) 2003-02-10 2016-08-23 The Nielsen Company (Us), Llc Methods and apparatus to adaptively select sensor(s) to gather audience measurement data based on a variable system factor
US9088821B2 (en) 2003-02-10 2015-07-21 The Nielsen Company (Us), Llc Methods and apparatus to adaptively select sensor(s) to gather audience measurement data based on a variable system factor and a quantity of data collectible by the sensors
US8448208B2 (en) 2003-03-14 2013-05-21 Tvworks, Llc System and method for construction, delivery and display of iTV applications that blend programming information of on-demand and broadcast service offerings
US9363560B2 (en) 2003-03-14 2016-06-07 Tvworks, Llc System and method for construction, delivery and display of iTV applications that blend programming information of on-demand and broadcast service offerings
US9729924B2 (en) 2003-03-14 2017-08-08 Comcast Cable Communications Management, Llc System and method for construction, delivery and display of iTV applications that blend programming information of on-demand and broadcast service offerings
US8578411B1 (en) 2003-03-14 2013-11-05 Tvworks, Llc System and method for controlling iTV application behaviors through the use of application profile filters
US8069076B2 (en) 2003-03-25 2011-11-29 Cox Communications, Inc. Generating audience analytics
US20070011039A1 (en) * 2003-03-25 2007-01-11 Oddo Anthony S Generating audience analytics
US8477786B2 (en) 2003-05-06 2013-07-02 Apple Inc. Messaging system and service
US8416952B1 (en) 2003-07-11 2013-04-09 Tvworks, Llc Channel family surf control
US20050022229A1 (en) * 2003-07-25 2005-01-27 Michael Gabriel Content access control
US8082563B2 (en) 2003-07-25 2011-12-20 Home Box Office, Inc. System and method for content access control through default profiles and metadata pointers
US20050039206A1 (en) * 2003-08-06 2005-02-17 Opdycke Thomas C. System and method for delivering and optimizing media programming in public spaces
US8819734B2 (en) 2003-09-16 2014-08-26 Tvworks, Llc Contextual navigational control for digital television
US8086690B1 (en) * 2003-09-22 2011-12-27 Google Inc. Determining geographical relevance of web documents
US20100076840A1 (en) * 2003-09-30 2010-03-25 Jeremy Bem Increasing a number of relevant advertisements using a relaxed match
US8135619B2 (en) * 2003-09-30 2012-03-13 Google, Inc. Increasing a number of relevant advertisements using a relaxed match
US20050071325A1 (en) * 2003-09-30 2005-03-31 Jeremy Bem Increasing a number of relevant advertisements using a relaxed match
US7647242B2 (en) * 2003-09-30 2010-01-12 Google, Inc. Increasing a number of relevant advertisements using a relaxed match
US20050080772A1 (en) * 2003-10-09 2005-04-14 Jeremy Bem Using match confidence to adjust a performance threshold
US7346615B2 (en) * 2003-10-09 2008-03-18 Google, Inc. Using match confidence to adjust a performance threshold
US8170912B2 (en) 2003-11-25 2012-05-01 Carhamm Ltd., Llc Database structure and front end
US7516118B1 (en) * 2003-12-31 2009-04-07 Google Inc. Methods and systems for assisted network browsing
US20070268381A1 (en) * 2004-03-12 2007-11-22 France Telecom Method and Device for the Automatic Processing of Spontaneous Data
WO2005099266A1 (en) * 2004-03-12 2005-10-20 France Telecom Method and device for the automatic processing of spontaneous data
FR2867647A1 (en) * 2004-03-12 2005-09-16 France Telecom Popup information e.g. text message, processing method, involves restoring multimedia data flow, and sending information characteristics to analysis filter for sending or not information to restoration terminal to restore information
US8930412B2 (en) * 2004-06-04 2015-01-06 Callidus Software Inc. Intelligence centers
US8255413B2 (en) 2004-08-19 2012-08-28 Carhamm Ltd., Llc Method and apparatus for responding to request for information-personalization
US8078602B2 (en) 2004-12-17 2011-12-13 Claria Innovations, Llc Search engine for a computer network
US9495446B2 (en) 2004-12-20 2016-11-15 Gula Consulting Limited Liability Company Method and device for publishing cross-network user behavioral data
US8751634B2 (en) * 2005-01-03 2014-06-10 Qualcomm Incorporated System and method for delivering content to users on a network
US8281037B2 (en) 2005-01-03 2012-10-02 Orb Networks, Inc. System and method for delivering content to users on a network
US20100115060A1 (en) * 2005-01-03 2010-05-06 Luc Julia System and method for delivering content to users on a network
US20110066730A1 (en) * 2005-01-03 2011-03-17 Luc Julia System and method for delivering content to users on a ntework
US20060195441A1 (en) * 2005-01-03 2006-08-31 Luc Julia System and method for delivering content to users on a network
US20080133601A1 (en) * 2005-01-05 2008-06-05 Musicstrands, S.A.U. System And Method For Recommending Multimedia Elements
US8230456B2 (en) * 2005-01-05 2012-07-24 Yahoo! Inc. Framework for delivering a plurality of content and providing for interaction with the same in a television environment
US20060271997A1 (en) * 2005-01-05 2006-11-30 Ronald Jacoby Framework for delivering a plurality of content and providing for interaction with the same in a television environment
US20060271953A1 (en) * 2005-01-05 2006-11-30 Ronald Jacoby System and method for delivering personalized advertisements
US20110209173A1 (en) * 2005-01-27 2011-08-25 Arthur Vaysman Controlling access to user-interactive displays including dynamic video mosaic elements
US20110209179A1 (en) * 2005-01-27 2011-08-25 Arthur Vaysman Method and apparatus for generating multiple dynamic user-interactive displays
US20110225612A1 (en) * 2005-01-27 2011-09-15 Arthur Vaysman User-interactive displays including video-on-demand availability reminders
US20070011702A1 (en) * 2005-01-27 2007-01-11 Arthur Vaysman Dynamic mosaic extended electronic programming guide for television program selection and display
US20100198818A1 (en) * 2005-02-01 2010-08-05 Strands, Inc. Dynamic identification of a new set of media items responsive to an input mediaset
US8312017B2 (en) 2005-02-03 2012-11-13 Apple Inc. Recommender system for identifying a new set of media items responsive to an input set of media items and knowledge base metrics
US20100161595A1 (en) * 2005-02-03 2010-06-24 Strands, Inc. Recommender system for identifying a new set of media items responsive to an input set of media items and knowledge base metrics
US9576056B2 (en) 2005-02-03 2017-02-21 Apple Inc. Recommender system for identifying a new set of media items responsive to an input set of media items and knowledge base metrics
US9262534B2 (en) 2005-02-03 2016-02-16 Apple Inc. Recommender system for identifying a new set of media items responsive to an input set of media items and knowledge base metrics
US7945568B1 (en) 2005-02-04 2011-05-17 Strands, Inc. System for browsing through a music catalog using correlation metrics of a knowledge base of mediasets
US20060179414A1 (en) * 2005-02-04 2006-08-10 Musicstrands, Inc. System for browsing through a music catalog using correlation metrics of a knowledge base of mediasets
US8185533B2 (en) 2005-02-04 2012-05-22 Apple Inc. System for browsing through a music catalog using correlation metrics of a knowledge base of mediasets
US7797321B2 (en) 2005-02-04 2010-09-14 Strands, Inc. System for browsing through a music catalog using correlation metrics of a knowledge base of mediasets
US8543575B2 (en) 2005-02-04 2013-09-24 Apple Inc. System for browsing through a music catalog using correlation metrics of a knowledge base of mediasets
US20060195468A1 (en) * 2005-02-21 2006-08-31 Satoru Yanagi System And Device For Providing Contents
US7912806B2 (en) * 2005-02-21 2011-03-22 Brother Kogyo Kabushiki Kaisha System and device for providing contents
US8645941B2 (en) 2005-03-07 2014-02-04 Carhamm Ltd., Llc Method for attributing and allocating revenue related to embedded software
US8073866B2 (en) 2005-03-17 2011-12-06 Claria Innovations, Llc Method for providing content to an internet user based on the user's demonstrated content preferences
US20110125896A1 (en) * 2005-04-22 2011-05-26 Strands, Inc. System and method for acquiring and adding data on the playing of elements or multimedia files
US7840570B2 (en) 2005-04-22 2010-11-23 Strands, Inc. System and method for acquiring and adding data on the playing of elements or multimedia files
US20090083307A1 (en) * 2005-04-22 2009-03-26 Musicstrands, S.A.U. System and method for acquiring and adding data on the playing of elements or multimedia files
US8312024B2 (en) 2005-04-22 2012-11-13 Apple Inc. System and method for acquiring and adding data on the playing of elements or multimedia files
US9414022B2 (en) 2005-05-03 2016-08-09 Tvworks, Llc Verification of semantic constraints in multimedia data and in its announcement, signaling and interchange
US20100332558A1 (en) * 2005-05-03 2010-12-30 Comcast Cable Communications, Llc Verification of Semantic Constraints in Multimedia Data and in its Announcement, Signaling and Interchange
US7699707B2 (en) 2005-05-09 2010-04-20 Hotbox Sports Llc Fantasy sports system and method thereof
US20060252476A1 (en) * 2005-05-09 2006-11-09 Tarek Bahou Fantasy sports system and method thereof
US7747721B2 (en) * 2005-06-03 2010-06-29 Sbc Knowledge Ventures, L.P. Method and apparatus for managing broadband residential gateway
US8224949B2 (en) 2005-06-03 2012-07-17 At&T Intellectual Property I, L.P. Method and apparatus for managing broadband residential gateways
US20060274740A1 (en) * 2005-06-03 2006-12-07 Sbc Knowledge Ventures Lp Method and apparatus for business to consumer channeling over wireless access networks
US20100228605A1 (en) * 2005-06-03 2010-09-09 Sbc Knowledge Ventures, L.P. Method and apparatus for managing broadband residential gateways
US8516120B2 (en) 2005-06-03 2013-08-20 At&T Intellectual Property I, Lp Method and apparatus for managing broadband residential gateways
GB2426889B (en) * 2005-06-03 2010-08-04 Sbc Knowledge Ventures Lp Method and apparatus for managing broadband residential gateways
US20060274765A1 (en) * 2005-06-03 2006-12-07 Sbc Knowledge Ventures Lp Method and apparatus for managing broadband residential gateway
WO2006138251A2 (en) * 2005-06-16 2006-12-28 Boost Video Llc Technique for providing advertisements over a communications network delivering interactive narratives
WO2006138251A3 (en) * 2005-06-16 2007-06-07 Boost Video Llc Technique for providing advertisements over a communications network delivering interactive narratives
US20060288362A1 (en) * 2005-06-16 2006-12-21 Pulton Theodore R Jr Technique for providing advertisements over a communications network delivering interactive narratives
US8086697B2 (en) 2005-06-28 2011-12-27 Claria Innovations, Llc Techniques for displaying impressions in documents delivered over a computer network
US8875196B2 (en) 2005-08-13 2014-10-28 Webtuner Corp. System for network and local content access
US20070061831A1 (en) * 2005-09-09 2007-03-15 Sbc Knowledge Ventures L.P. IPTV channel usage and video delivery path monitoring architecture
US20070265979A1 (en) * 2005-09-30 2007-11-15 Musicstrands, Inc. User programmed media delivery service
US20070078836A1 (en) * 2005-09-30 2007-04-05 Rick Hangartner Systems and methods for promotional media item selection and promotional program unit generation
US20090070267A9 (en) * 2005-09-30 2009-03-12 Musicstrands, Inc. User programmed media delivery service
US7877387B2 (en) * 2005-09-30 2011-01-25 Strands, Inc. Systems and methods for promotional media item selection and promotional program unit generation
US20110119127A1 (en) * 2005-09-30 2011-05-19 Strands, Inc. Systems and methods for promotional media item selection and promotional program unit generation
US8745048B2 (en) 2005-09-30 2014-06-03 Apple Inc. Systems and methods for promotional media item selection and promotional program unit generation
US20070088605A1 (en) * 2005-10-19 2007-04-19 Yahoo! Inc. System and method for achieving linear advertisement impression delivery under uneven, volatile traffic conditions
US20070101361A1 (en) * 2005-10-27 2007-05-03 Spielman Howard L Distribution of advertising content for an entertainment device
US20070101365A1 (en) * 2005-10-27 2007-05-03 Clark Darren L Advertising content tracking for an entertainment device
US7937724B2 (en) 2005-10-27 2011-05-03 E-Cast Inc. Advertising content tracking for an entertainment device
US8356038B2 (en) 2005-12-19 2013-01-15 Apple Inc. User to user recommender
US8996540B2 (en) 2005-12-19 2015-03-31 Apple Inc. User to user recommender
US7962505B2 (en) 2005-12-19 2011-06-14 Strands, Inc. User to user recommender
US20070203790A1 (en) * 2005-12-19 2007-08-30 Musicstrands, Inc. User to user recommender
US20070162546A1 (en) * 2005-12-22 2007-07-12 Musicstrands, Inc. Sharing tags among individual user media libraries
US20070245372A1 (en) * 2006-01-31 2007-10-18 Brother Kogyo Kabushiki Kaisha Management device, method and program for monitoring video data transmitted via network
US20090210415A1 (en) * 2006-02-03 2009-08-20 Strands, Inc. Mediaset generation system
US8583671B2 (en) 2006-02-03 2013-11-12 Apple Inc. Mediaset generation system
US20070244880A1 (en) * 2006-02-03 2007-10-18 Francisco Martin Mediaset generation system
US20090222392A1 (en) * 2006-02-10 2009-09-03 Strands, Inc. Dymanic interactive entertainment
US7987148B2 (en) 2006-02-10 2011-07-26 Strands, Inc. Systems and methods for prioritizing media files in a presentation device
US9317185B2 (en) 2006-02-10 2016-04-19 Apple Inc. Dynamic interactive entertainment venue
US20100268680A1 (en) * 2006-02-10 2010-10-21 Strands, Inc. Systems and methods for prioritizing mobile media player files
US8214315B2 (en) 2006-02-10 2012-07-03 Apple Inc. Systems and methods for prioritizing mobile media player files
US8521611B2 (en) 2006-03-06 2013-08-27 Apple Inc. Article trading among members of a community
US20070240179A1 (en) * 2006-03-28 2007-10-11 Lavigne Robert T Smart channel-surfer system
US9185457B2 (en) 2006-03-31 2015-11-10 The Nielsen Company (Us), Llc Methods, systems and apparatus for multi-purpose metering
US8327396B2 (en) 2006-03-31 2012-12-04 The Nielsen Company (Us), Llc Methods, systems, and apparatus for multi-purpose metering
US20090070797A1 (en) * 2006-03-31 2009-03-12 Arun Ramaswamy Methods, systems, and apparatus for multi-purpose metering
US8752081B2 (en) 2006-03-31 2014-06-10 The Nielsen Company (Us), Llc. Methods, systems and apparatus for multi-purpose metering
US9055336B2 (en) 2006-03-31 2015-06-09 The Nielsen Company (Us), Llc Methods, systems and apparatus for multi-purpose metering
US20070255755A1 (en) * 2006-05-01 2007-11-01 Yahoo! Inc. Video search engine using joint categorization of video clips and queries based on multiple modalities
US20090300672A1 (en) * 2006-05-15 2009-12-03 Joost N.V. Method of Associating Program Content Data in a Digital Television Network
US8966524B2 (en) * 2006-05-15 2015-02-24 Baaima N.V. Method of associating program content data in a digital television network
GB2438645A (en) * 2006-05-30 2007-12-05 Motorola Inc System for content item recommendation
US20070283384A1 (en) * 2006-05-31 2007-12-06 Sbc Knowledge Ventures, Lp System and method of providing targeted advertisements
US20070294721A1 (en) * 2006-06-20 2007-12-20 Sbc Knowledge Ventures, Lp System and method of providing supplemental video content related to targeted advertisements in a video stream
US8239886B2 (en) * 2006-07-13 2012-08-07 At&T Intellectual Property I, L.P. System and method for a video content service monitoring and provisioning architecture
US20080016540A1 (en) * 2006-07-13 2008-01-17 Sbc Knowledge Ventures, L.P. System and method for a video content service monitoring & provisioning architecture
US8613009B2 (en) 2006-07-13 2013-12-17 At&T Intellectual Property I, Lp System and method for a video content service monitoring and provisioning architecture
US20080028423A1 (en) * 2006-07-31 2008-01-31 Samsung Electronics Co., Ltd. Digital broadcasting system and method thereof
US20080059308A1 (en) * 2006-09-02 2008-03-06 David Gerken Methods and apparatus for using poll results to target and/or select advertisements
US20080092161A1 (en) * 2006-09-27 2008-04-17 Global Vision System Co., Ltd. Interactive television service system for providing personalized advertising message
US20080092155A1 (en) * 2006-09-29 2008-04-17 United Video Properties, Inc. Systems and methods for automatically identifying a user profile
US20100198732A1 (en) * 2006-11-27 2010-08-05 Creative Technology Ltd. Communication system, a media player used in the system and a method thereof
US20080134228A1 (en) * 2006-11-30 2008-06-05 Alcatel Customer Loyalty Based System Internet Protocol Television Advertising Mechanism
US8356039B2 (en) * 2006-12-21 2013-01-15 Yahoo! Inc. Providing multiple media items to a consumer via a simplified consumer interaction
US20080154955A1 (en) * 2006-12-21 2008-06-26 Yahoo! Inc. Providing multiple media items to a consumer via a simplified consumer interaction
US20130132409A1 (en) * 2006-12-21 2013-05-23 Yahoo! Inc. Systems And Methods For Providing Multiple Media Items To A Consumer Via A Simplified Consumer Interaction
US8620952B2 (en) 2007-01-03 2013-12-31 Carhamm Ltd., Llc System for database reporting
EP2115617A1 (en) * 2007-01-30 2009-11-11 Sony Corporation System and method for effectively providing content to client devices in an electronic network
EP2115617A4 (en) * 2007-01-30 2014-08-27 Sony Corp System and method for effectively providing content to client devices in an electronic network
US20080301727A1 (en) * 2007-02-01 2008-12-04 Cristofalo Michael Intelligent targeting of tags in a broadcast network
US9396475B2 (en) * 2007-02-01 2016-07-19 Invidi Technologies Corporation Intelligent targeting of tags in a broadcast network
US8055536B1 (en) 2007-03-21 2011-11-08 Qurio Holdings, Inc. Automated real-time secure user data sourcing
US8756103B1 (en) 2007-03-28 2014-06-17 Qurio Holdings, Inc. System and method of implementing alternative redemption options for a consumer-centric advertising system
US8688699B2 (en) * 2007-03-31 2014-04-01 Sony Deutschland Gmbh Method for content recommendation
US9372860B2 (en) 2007-03-31 2016-06-21 Sony Deutschland Gmbh Method, system and device for content recommendation
US20110196865A1 (en) * 2007-03-31 2011-08-11 Sony Deutschland Gmbh Method for content recommendation
US9813778B2 (en) 2007-04-17 2017-11-07 Intent IQ, LLC Targeted television advertisements based on online behavior
US8671000B2 (en) 2007-04-24 2014-03-11 Apple Inc. Method and arrangement for providing content to multimedia devices
US20080275772A1 (en) * 2007-05-01 2008-11-06 At&T Knowledge Ventures, Lp System and method of facilitating targeted content delivery
US20080281698A1 (en) * 2007-05-11 2008-11-13 Verizon Services Organization Inc. Systems and methods for using value-added services records to provide targeted marketing services
US20080281696A1 (en) * 2007-05-11 2008-11-13 Verizon Services Organization Inc. Systems and methods for using dns records to provide targeted marketing services
US20080281697A1 (en) * 2007-05-11 2008-11-13 Verizon Services Organization Inc. Systems and methods for using video services records to provide targeted marketing services
US20080281695A1 (en) * 2007-05-11 2008-11-13 Verizon Services Organization Inc. Systems and methods for using voice services records to provide targeted marketing services
US8099315B2 (en) 2007-06-05 2012-01-17 At&T Intellectual Property I, L.P. Interest profiles for audio and/or video streams
US20080306807A1 (en) * 2007-06-05 2008-12-11 At&T Knowledge Ventures, Lp Interest profiles for audio and/or video streams
US8392238B2 (en) 2007-06-05 2013-03-05 At&T Intellectual Property I, L.P. Interest profiles for audio and/or video streams
US20080307066A1 (en) * 2007-06-07 2008-12-11 Qurio Holdings, Inc. Systems and Methods of Providing Collaborative Consumer-Controlled Advertising Environments
US8560387B2 (en) 2007-06-07 2013-10-15 Qurio Holdings, Inc. Systems and methods of providing collaborative consumer-controlled advertising environments
US20090006187A1 (en) * 2007-06-28 2009-01-01 Andrew Marcuvitz Profile based advertising method for out-of-line advertising delivery
US8627205B2 (en) * 2007-09-14 2014-01-07 Cristian Alfred Worthington System for managing multi-media content across multiple software applications
US20120222060A1 (en) * 2007-09-14 2012-08-30 At&T Intellectual Property I, Lp Apparatus and method for managing media content
US9131115B2 (en) * 2007-09-14 2015-09-08 At&T Intellectual Property I, Lp Apparatus and method for managing media content
US20090077469A1 (en) * 2007-09-14 2009-03-19 I-Fax.Com Inc. System for Managing Multi-Media Content Across Multiple Software Applications
US9311192B2 (en) * 2007-10-31 2016-04-12 At&T Intellectual Property I, L.P. Methods, systems, and products for data backup
WO2009058716A3 (en) * 2007-11-01 2009-06-18 Microsoft Corp Online advertisement selection
US9390425B2 (en) * 2007-11-01 2016-07-12 Microsoft Corporation Online advertisement selection
US20120054792A1 (en) * 2007-11-01 2012-03-01 Microsoft Corporation Online Advertisement Selection
US20090119151A1 (en) * 2007-11-01 2009-05-07 Microsoft Corporation Online Advertisement Selection
WO2009058716A2 (en) * 2007-11-01 2009-05-07 Microsoft Corporation Online advertisement selection
US8082179B2 (en) 2007-11-01 2011-12-20 Microsoft Corporation Monitoring television content interaction to improve online advertisement selection
US20090150340A1 (en) * 2007-12-05 2009-06-11 Motorola, Inc. Method and apparatus for content item recommendation
US8413181B2 (en) * 2007-12-13 2013-04-02 Time Warner Cable, Inc. System and method for selecting and delivering ADS based on cross-platform activity
US8776114B2 (en) 2007-12-13 2014-07-08 Time Warner Cable Enterprises Llc System and method for selecting and delivering ads based on cross-platform activity
US20090158320A1 (en) * 2007-12-13 2009-06-18 Steve Riedl System and method for selecting and delivering ads based on cross-platform activity
US20090158341A1 (en) * 2007-12-17 2009-06-18 Kerry Philip Miller Electronic program guide generation apparatus, systems, and methods
US9055260B2 (en) * 2007-12-17 2015-06-09 Echostar Technologies L.L.C. Electronic program guide generation apparatus, systems, and methods
US20090178091A1 (en) * 2008-01-08 2009-07-09 Hiroki Miyamoto Contents distribution method and receiving device
US20090198551A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for selecting personalized non-competitive electronic advertising for electronic display
US20090198555A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for providing cooperative electronic advertising
US20090199233A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for generating a selection model for use in personalized non-competitive advertising
US20090198552A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for identifying users for which cooperative electronic advertising is relevant
US20090198554A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for identifying users for which non-competitive advertisements is relevant
US20090198556A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for selecting personalized non-competitive electronic advertising
US20090198553A1 (en) * 2008-02-01 2009-08-06 David Selinger System and process for generating a user model for use in providing personalized advertisements to retail customers
US7822753B2 (en) * 2008-03-11 2010-10-26 Cyberlink Corp. Method for displaying search results in a browser interface
US20090234828A1 (en) * 2008-03-11 2009-09-17 Pei-Hsuan Tu Method for displaying search results in a browser interface
US20090248607A1 (en) * 2008-03-31 2009-10-01 Sony Corporation Method to determine a subgroup of users
US7729940B2 (en) * 2008-04-14 2010-06-01 Tra, Inc. Analyzing return on investment of advertising campaigns by matching multiple data sources
US20100161492A1 (en) * 2008-04-14 2010-06-24 Tra, Inc. Analyzing return on investment of advertising campaigns using cross-correlation of multiple data sources
US20090259518A1 (en) * 2008-04-14 2009-10-15 Tra, Inc. Analyzing return on investment of advertising campaigns using cross-correlation of multiple data sources
US8060398B2 (en) 2008-04-14 2011-11-15 Tra, Inc. Using consumer purchase behavior for television targeting
US8000993B2 (en) 2008-04-14 2011-08-16 Tra, Inc. Using consumer purchase behavior for television targeting
US20090276368A1 (en) * 2008-04-28 2009-11-05 Strands, Inc. Systems and methods for providing personalized recommendations of products and services based on explicit and implicit user data and feedback
US20090300008A1 (en) * 2008-05-31 2009-12-03 Strands, Inc. Adaptive recommender technology
US20160080790A1 (en) * 2008-06-02 2016-03-17 Intent IQ, LLC Targeted advertisements selected on the basis of an online user profile and presented with media presentations related to that profile
US9800917B2 (en) 2008-06-02 2017-10-24 Intent IQ, LLC Targeted television advertisements associated with online users' preferred television programs or channels
US9756372B2 (en) * 2008-06-02 2017-09-05 Intent IQ, LLC Targeted advertisements selected on the basis of an online user profile and presented with media presentations related to that profile
US9369781B2 (en) 2008-06-25 2016-06-14 At&T Intellectual Property Ii, Lp Method and apparatus for presenting media programs
US9415303B2 (en) 2008-06-25 2016-08-16 At&T Intellectual Property I, L.P. Apparatus and method for gaming
US8839327B2 (en) 2008-06-25 2014-09-16 At&T Intellectual Property Ii, Lp Method and apparatus for presenting media programs
US20090328122A1 (en) * 2008-06-25 2009-12-31 At&T Corp. Method and apparatus for presenting media programs
US9501758B2 (en) 2008-06-25 2016-11-22 At&T Intellectual Property I, L.P. Apparatus and method for monitoring and control on a network
US9769532B2 (en) 2008-06-25 2017-09-19 At&T Intellectual Property Ii, L.P. Method and apparatus for presenting media programs
US20110111854A1 (en) * 2008-06-25 2011-05-12 At&T Intellectual Property I, L.P. Apparatus and method for gaming
US9584864B2 (en) 2008-06-25 2017-02-28 At&T Intellectual Property I, L.P. Apparatus and method for media on demand commentaries
US9015778B2 (en) 2008-06-25 2015-04-21 AT&T Intellectual Property I. LP Apparatus and method for media on demand commentaries
US20100017725A1 (en) * 2008-07-21 2010-01-21 Strands, Inc. Ambient collage display of digital media content
US9496003B2 (en) 2008-09-08 2016-11-15 Apple Inc. System and method for playlist generation based on similarity data
US20100070917A1 (en) * 2008-09-08 2010-03-18 Apple Inc. System and method for playlist generation based on similarity data
US8966394B2 (en) 2008-09-08 2015-02-24 Apple Inc. System and method for playlist generation based on similarity data
US8601003B2 (en) 2008-09-08 2013-12-03 Apple Inc. System and method for playlist generation based on similarity data
US8914384B2 (en) 2008-09-08 2014-12-16 Apple Inc. System and method for playlist generation based on similarity data
US20100083191A1 (en) * 2008-09-30 2010-04-01 Richard Marshall Method and apparatus for displaying content at a mobile device
US8332406B2 (en) 2008-10-02 2012-12-11 Apple Inc. Real-time visualization of user consumption of media items
US20100125868A1 (en) * 2008-11-17 2010-05-20 At&T Intellectual Property I, L.P. System and Method for Content Delivery
US8713601B2 (en) * 2008-11-17 2014-04-29 At&T Intellectual Property I, L.P. System and method for content delivery
US20100169328A1 (en) * 2008-12-31 2010-07-01 Strands, Inc. Systems and methods for making recommendations using model-based collaborative filtering with user communities and items collections
US9276761B2 (en) 2009-03-04 2016-03-01 At&T Intellectual Property I, L.P. Method and apparatus for group media consumption
US20100226288A1 (en) * 2009-03-04 2010-09-09 At&T Intellectual Property I, Lp. Method and apparatus for group media consumption
US8457971B2 (en) 2009-03-06 2013-06-04 At&T Intellectual Property I, L.P. Method and apparatus for analyzing discussion regarding media programs
US8589168B2 (en) 2009-03-06 2013-11-19 At&T Intellectual Property I, L.P. Method and apparatus for analyzing discussion regarding media programs
US8275623B2 (en) 2009-03-06 2012-09-25 At&T Intellectual Property I, L.P. Method and apparatus for analyzing discussion regarding media programs
US8620919B2 (en) 2009-09-08 2013-12-31 Apple Inc. Media item clustering based on similarity data
US20110072462A1 (en) * 2009-09-23 2011-03-24 At&T Intellectual Property I, L.P. System and Method to Modify an Electronic Program Guide
US8806520B2 (en) * 2009-09-26 2014-08-12 Mimik Technology Inc. Method of collecting usage information
US20130125157A1 (en) * 2009-09-26 2013-05-16 Disternet Technology, Inc. Method of collecting usage information
US8662997B1 (en) 2009-09-30 2014-03-04 Amazon Technologies, Inc. Systems and methods for in-game provisioning of content
US9005017B2 (en) * 2009-09-30 2015-04-14 Amazon Technologies, Inc. Tracking game progress using player profiles
US9770654B1 (en) * 2009-09-30 2017-09-26 Amazon Technologies, Inc. Cross device operation of games
US8266652B2 (en) 2009-10-15 2012-09-11 At&T Intellectual Property I, L.P. Apparatus and method for transmitting media content
US20110093909A1 (en) * 2009-10-15 2011-04-21 At&T Intellectual Property I, L.P. Apparatus and method for transmitting media content
US8935724B2 (en) 2009-10-15 2015-01-13 At&T Intellectual Property I, Lp Apparatus and method for transmitting media content
US9432706B2 (en) 2009-10-15 2016-08-30 At&T Intellectual Property I, L.P. Apparatus and method for transmitting media content
US8645997B2 (en) 2009-10-15 2014-02-04 At&T Intellectual Property I, L.P. Apparatus and method for transmitting media content
US9661391B2 (en) 2009-10-15 2017-05-23 At&T Intellectual Property I, L.P. Apparatus and method for transmitting media content
US9124908B2 (en) 2009-10-15 2015-09-01 At&T Intellectual Property I, Lp Apparatus and method for transmitting media content
US20110106612A1 (en) * 2009-10-30 2011-05-05 At&T Intellectual Property L.L.P. Apparatus and method for product marketing
US9830605B2 (en) 2009-10-30 2017-11-28 At&T Intellectual Property I, L.P. Apparatus and method for product marketing
US20110106718A1 (en) * 2009-11-05 2011-05-05 At&T Intellectual Property I, L.P. Apparatus and method for managing a social network
US8224756B2 (en) 2009-11-05 2012-07-17 At&T Intellectual Property I, L.P. Apparatus and method for managing a social network
US8504484B2 (en) 2009-11-05 2013-08-06 At&T Intellectual Property I, Lp Apparatus and method for managing a social network
US8760469B2 (en) 2009-11-06 2014-06-24 At&T Intellectual Property I, L.P. Apparatus and method for managing marketing
US9565484B2 (en) 2009-11-06 2017-02-07 At&T Intellectual Property I, L.P. Apparatus and method for managing marketing
US9098867B2 (en) 2009-11-06 2015-08-04 At&T Intellectual Property I, Lp Apparatus and method for managing marketing
US20110109648A1 (en) * 2009-11-06 2011-05-12 At&T Intellectual Property I, L.P. Apparatus and method for managing marketing
US9681190B2 (en) 2009-11-10 2017-06-13 At&T Intellectual Property I, L.P. Method and apparatus for presenting media programs
US8996998B2 (en) 2009-11-10 2015-03-31 At&T Intellectual Property I, Lp Method and apparatus for presenting media programs
US20110113440A1 (en) * 2009-11-10 2011-05-12 At&T Intellectual Property I.L.P. Apparatus and method for transmitting media content
US9031379B2 (en) 2009-11-10 2015-05-12 At&T Intellectual Property I, L.P. Apparatus and method for transmitting media content
US8316303B2 (en) 2009-11-10 2012-11-20 At&T Intellectual Property I, L.P. Method and apparatus for presenting media programs
US20110112665A1 (en) * 2009-11-10 2011-05-12 At&T Intellectual Property I, L.P. Method and apparatus for presenting media programs
US9313547B2 (en) 2009-11-10 2016-04-12 At&T Intellectual Property I, Lp Method and apparatus for presenting media programs
US20110119725A1 (en) * 2009-11-13 2011-05-19 At&T Intellectual Property I, L.P. Method and apparatus for presenting media programs
US9830041B2 (en) 2009-11-13 2017-11-28 At&T Intellectual Property I, Lp Method and apparatus for presenting media programs
US8387088B2 (en) 2009-11-13 2013-02-26 At&T Intellectual Property I, Lp Method and apparatus for presenting media programs
US9100550B2 (en) 2009-11-20 2015-08-04 At&T Intellectual Property I, L.P. Apparatus and method for managing a social network
US9639561B2 (en) 2009-11-20 2017-05-02 At&T Intellectual Property I, L.P. Apparatus and method for managing a social network
US8839306B2 (en) 2009-11-20 2014-09-16 At&T Intellectual Property I, Lp Method and apparatus for presenting media programs
US9351047B2 (en) 2009-11-20 2016-05-24 At&T Intellectual Property I, Lp Apparatus and method for managing a social network
US8373741B2 (en) 2009-11-20 2013-02-12 At&T Intellectual Property I, Lp Apparatus and method for collaborative network in an enterprise setting
US20110122220A1 (en) * 2009-11-20 2011-05-26 At&T Intellectual Property I, L.P. Apparatus and method for collaborative network in an enterprise setting
US20110126253A1 (en) * 2009-11-20 2011-05-26 At&T Intellectual Property I, L.P. Apparatus and method for managing a social network
US20110126252A1 (en) * 2009-11-20 2011-05-26 At&T Intellectual Property I, L.P. Method and apparatus for presenting media programs
US9380349B2 (en) 2009-11-20 2016-06-28 At&T Intellectual Property I, Lp Method and apparatus for presenting media programs
US9479844B2 (en) 2009-12-04 2016-10-25 At&T Intellectual Property I, L.P. Apparatus and method for tagging media content and managing marketing
US20110138326A1 (en) * 2009-12-04 2011-06-09 At&T Intellectual Property I, L.P. Apparatus and Method for Tagging Media Content and Managing Marketing
US9094726B2 (en) 2009-12-04 2015-07-28 At&T Intellectual Property I, Lp Apparatus and method for tagging media content and managing marketing
US20110153396A1 (en) * 2009-12-22 2011-06-23 Andrew Marcuvitz Method and system for processing on-line transactions involving a content owner, an advertiser, and a targeted consumer
US9855503B2 (en) 2010-03-01 2018-01-02 Rishi Nangia System and method for providing secondary gaming
US20130010209A1 (en) * 2010-03-26 2013-01-10 Sharp Kabushiki Kaisha Display apparatus, control apparatus, television receiver, method of controlling display apparatus, program, and recording medium
CN103428579A (en) * 2010-03-26 2013-12-04 夏普株式会社 Display apparatus, control apparatus, television receiver, method of controlling display apparatus, program, and recording medium
US8463772B1 (en) 2010-05-13 2013-06-11 Google Inc. Varied-importance proximity values
CN103125121A (en) * 2010-09-23 2013-05-29 英特尔公司 Validation of TV viewership utlizing methods, systems and computer control logic
EP2619990A4 (en) * 2010-09-23 2014-07-16 Intel Corp Intel Validation of tv viewership utlizing methods, systems and computer control logic
EP2619990A2 (en) * 2010-09-23 2013-07-31 Intel Corporation (INTEL) Validation of tv viewership utlizing methods, systems and computer control logic
US9635405B2 (en) 2011-05-17 2017-04-25 Webtuner Corp. System and method for scalable, high accuracy, sensor and ID based audience measurement system based on distributed computing architecture
US9256884B2 (en) 2011-05-24 2016-02-09 Webtuner Corp System and method to increase efficiency and speed of analytics report generation in audience measurement systems
US9021543B2 (en) 2011-05-26 2015-04-28 Webtuner Corporation Highly scalable audience measurement system with client event pre-processing
US9112623B2 (en) 2011-06-06 2015-08-18 Comcast Cable Communications, Llc Asynchronous interaction at specific points in content
US20130007801A1 (en) * 2011-07-01 2013-01-03 Teliasonera Ab Personalized advertising
WO2013012679A1 (en) * 2011-07-20 2013-01-24 Resonate Networks, Inc Method and apparatus for delivering targeted content to television viewers
US20130276013A1 (en) * 2011-09-12 2013-10-17 Wenlong Li Using Multimedia Search to Identify what Viewers are Watching on Television
US20130080907A1 (en) * 2011-09-23 2013-03-28 Richard Skelton Method and system for a personalized content play list
US8983905B2 (en) 2011-10-03 2015-03-17 Apple Inc. Merging playlists from multiple sources
US9471936B2 (en) 2012-05-09 2016-10-18 Bluefin Labs, Inc. Web identity to social media identity correlation
US9154853B1 (en) 2012-05-09 2015-10-06 Bluefin Labs, Inc. Web identity to social media identity correlation
US8819728B2 (en) * 2012-05-09 2014-08-26 Bluefin Labs, Inc. Topic to social media identity correlation
US9282366B2 (en) 2012-08-13 2016-03-08 The Nielsen Company (Us), Llc Methods and apparatus to communicate audience measurement information
US9883208B2 (en) 2012-09-27 2018-01-30 Canoe Ventures Llc Data synchronization for content on demand asset insertion decisions
US9872075B2 (en) 2012-09-27 2018-01-16 Canoe Ventures Asset scoring and ranking for content on demand insertion
US9386349B2 (en) 2012-09-27 2016-07-05 Canoe Ventures, Llc Asset conflict resolution for content on demand asset insertion
US9398340B2 (en) * 2012-09-27 2016-07-19 Canoe Ventures, Llc Asset qualification for content on demand insertion
US9300910B2 (en) 2012-12-14 2016-03-29 Biscotti Inc. Video mail capture, processing and distribution
US9253520B2 (en) 2012-12-14 2016-02-02 Biscotti Inc. Video capture, processing and distribution system
US20140359647A1 (en) * 2012-12-14 2014-12-04 Biscotti Inc. Monitoring, Trend Estimation, and User Recommendations
US9485459B2 (en) 2012-12-14 2016-11-01 Biscotti Inc. Virtual window
US9310977B2 (en) 2012-12-14 2016-04-12 Biscotti Inc. Mobile presence detection
US9654563B2 (en) 2012-12-14 2017-05-16 Biscotti Inc. Virtual remote functionality
US9202332B2 (en) 2013-01-14 2015-12-01 Hotbox Sports Llc Online fantasy sports game system and method
US9553927B2 (en) 2013-03-13 2017-01-24 Comcast Cable Communications, Llc Synchronizing multiple transmissions of content
US20140278308A1 (en) * 2013-03-15 2014-09-18 Yahoo! Inc. Method and system for measuring user engagement using click/skip in content stream
US20140298386A1 (en) * 2013-03-28 2014-10-02 Tata Consultancy Services Limited Personalized Content Recommendation
US9232251B2 (en) * 2013-03-28 2016-01-05 Tata Consultancy Services Limited Personalized content recommendation
US9615136B1 (en) * 2013-05-03 2017-04-04 Amazon Technologies, Inc. Video classification
US20150304713A1 (en) * 2014-04-22 2015-10-22 clypd, inc. Demand Target Detection
US9699499B2 (en) 2014-04-30 2017-07-04 The Nielsen Company (Us), Llc Methods and apparatus to measure exposure to streaming media
US9628860B2 (en) * 2014-10-10 2017-04-18 Anhui Huami Information Technology Co., Ltd. Video pushing method, apparatus, and system
US9621955B2 (en) * 2014-12-31 2017-04-11 Google Inc. Identifying media channels that have a high likelihood of multiple consumptions by one or more users
US20160316268A1 (en) * 2015-04-23 2016-10-27 Rovi Guides, Inc. Systems and methods for improving accuracy in media asset recommendation models

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